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    38 Oilfield Review

    Refracturing Works

    George DozierHouston, Texas, USA

    Jack Elbel

    Consultant

    Dallas, Texas

    Eugene Fielder

    Devon Energy

    Oklahoma City, Oklahoma, USA

    Ren Hoover

    Fort Worth, Texas

    Stephen LempCalgary, Alberta, Canada

    Scott Reeves

    Advanced Resources International

    Houston, Texas

    Eduard Siebrits

    Sugar Land, Texas

    Del Wisler

    Kerr-McGee Corporation

    Houston, Texas

    Steve WolhartPinnacle Technologies

    Houston, Texas

    For help in preparation of this article, thanks to Curtis Boney,Leo Burdylo, Chris Hopkins and Lee Ramsey, Sugar Land,Texas, USA; Phil Duda, Midland, Texas; Chad Gutor, formerlywith Enerplus, Calgary, Alberta, Canada; Stephen Holditchand Valerie Jochen, College Station, Texas; and Jim Troyer,Enerplus, Calgary, Canada.

    CoilFRAC, DSI (Dipole Shear Sonic Imager), FMI (FullboreFormation MicroImager), FracCADE, InterACT, MovingDomain, NODAL, ProCADE and StimMAP are marks ofSchlumberger.

    Applicable in gas or oil wells, fracture restimulations bypass near-wellbore damage, reestablish good

    connectivity with the reservoir and tap areas with higher pore pressure. An initial period of production

    also can alter formation stresses, resulting in better vertical containment and more lateral extension

    during hydraulic fracturing, and may even allow the new fracture to reorient along a different azimuth.

    As a result, refracturing often restores well productivity to near original or even higher rates.

    The potential benefits of refracturing haveintrigued oil and gas operators for more than

    50 years. Most intriguing is that, under certain

    conditions, this technique restores or increases

    we ll pr oduc tivi ty, of ten yiel di ng ad di tion al

    reserves by improving hydrocarbon recovery. The

    approximately 70,000 new wells that are drilled

    annually represent only about 7 to 8% of the

    total number of producing wells worldwide.1

    Therefore, getting the most output from the

    more than 830,000 previously completed wells is

    essential for field development, production

    enhancement and reservoir management. Even

    modest production increases from a portion ofthe vast number of existing wells represent signif-

    icant incremental reserve volumes. Refracturing

    is one means of accomplishing this objective.

    More than 30% of fracturing treatments are

    performed on older wells. Many are completions

    of new intervals; others represent treatments on

    producing zones that were not fractured initially

    or a combination of new intervals and previously

    understimulated or unstimulated zones. An

    increasing number of jobs, however, involve

    refracturing previously stimulated intervals after

    an initial period of production, reservoir-pressure

    drawdown and partial depletion. These types ofrestimulations are effective in low-permeability,

    naturally fractured, laminated and hetero-

    geneous formations, especially gas reservoirs.

    If an original fracturing treatment was inade-quate or an existing proppant pack becomes

    damaged or deteriorates over time, fracturing

    the well again reestablishes linear flow into the

    wellbore. Refracturing can generate higher con-

    ductivity propped fractures that may penetrate

    deeper into a formation than the initial treat-

    ment. But not all restimulations are remedial

    treatments to restore productivity; some wells

    that produce at relatively high rates also may be

    good candidates for refracturing. In fact, the

    better wells in a field often have the highest

    restimulation potential.2

    Wells with an effective initial treatment alsocan be retreated to create a new fracture that

    propagates along a different azimuth than the

    original fracture. In formations with lower

    permeability in a direction perpendicular to the

    original fracture, a reoriented fracture exposes

    more of the higher matrix permeability. In these

    cases, refracturing significantly improves well

    production, and supplements infill drilling.

    For this reason, operators should consider

    restimulation during the field-development

    planning process.

    Many companies, however, are reluctant to

    retreat wells that produce at reasonably eco-nomic rates. The tendency is not to refracture

    any wells, or to restimulate only poorly perform-

    ing wells. This lack of confidence and the negative

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    Autumn 2003 39

    preconceptions about refracturing are changing

    because of a better understanding of refracturing

    mechanics and the favorable results reported by

    companies that apply this technique regularly.

    To be successful, refracturing treatments

    must create a longer or more conductive

    propped fracture, or expose more net pay to the

    wellbore compared with existing well conditions

    prior to restimulation. Accomplishing these

    objectives requires knowledge of reservoir and

    well conditions to understand why rest imula-tions succeed and to improve future treatments

    based on experience. Quantifying average reser-

    voir pressure, permeabili ty-thickness product,

    and effective fracture length and conductivity

    both before and after refracturing allows engi-

    neers to determine the reasons for poor well

    performance before new treatments and the

    causes of restimulation success or failure.

    Improved diagnostic techniques, such as

    short shut-in time well tests, help determine the

    current stimulation condition of a well and

    ve ri fy re fr ac tu ri ng po te nt ia l. Ad va nc es in

    fracture modeling, design and analysis software

    also have contributed significantly to restimula-

    tion success during the past ten years, as have

    better candidate selection, innovative stimula-

    tion fluids, improved proppants and proppant

    flowback control.

    This article presents results from a two-year ref racturing study and subs equent fie ld

    trials. We also discuss reasons for restimulation

    success, including candidate-selection methods

    and criteria, causes of underperformance in

    fracture-stimulated wells, formation-stress reori-

    entation and treatment-design considerations.

    Recent examples from the USA and Canada

    demonstrate refracturing implementation and

    productivity improvement.

    1. International Outlook: World Trends, World Oil224,no. 8 (August 2003): 2325.

    2. Niemeyer BL and Reinart MR: Hydraulic Fracturing of aModerate Permeability Reservoir, Kuparuk River Unit,paper SPE 15507, presented at the SPE Annual TechnicalConference and Exhibition, New Orleans, Louisiana, USAOctober 58, 1986.

    Pearson CM, Bond AJ, Eck ME and Lynch KW: OptimalFracture Stimulation of a Moderate PermeabilityReservoir, Kuparuk River Unit, Alaska, paper SPE 20707,presented at the SPE Annual Technical Conferenceand Exhibition, New Orleans, Louisiana, USA,September 2326, 1990.

    Reimers DR and Clausen RA: High-PermeabilityFracturing at Prudhoe Bay, Alaska, paper SPE 22835,presented at the SPE Annual Technical Conference andExhibition, Dallas, Texas, USA, October 69, 1991.

    2003

    1993

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    A Multiple-Basin Evaluation

    Some operators report disappointing results

    when refracturing previously stimulated wells,

    despite documented successes in individual

    we ll s an d se ve ra l fi el d- wi de re st im ul at io n

    efforts.3 However, recent research, subsequent

    field trials and the ongoing refracturing

    programs of a few operators still attract

    considerable interest and attention within the

    oil and gas industry.

    In 1996, the Gas Research Institute (GRI),

    now Gas Technology Institute (GTI), began

    investigating fracture restimulation as a low-cost

    means of enhancing gas production and adding

    recoverable reserves. This preliminary evalua-

    tion identified significant onshore gas

    potentialconservatively more than 10 Tcf

    [286.4 billion m3] of incremental reservesin

    the USA, excluding Alaska (below).

    These additional gas reserves are located in

    the Rocky Mountain, Midcontinent, East Texas

    and South Texas regions, primary in low-

    permeability, or tight-gas, sandstones (TGS)and in other unconventional reservoirs that

    include gas shales (GS) and coalbed methane

    (CBM) deposits (see Producing Natural Gas

    from Coal,page 8). Other areas of the USA with

    refracturing potential include unconventional

    reservoirs in the Michigan and Appalachian

    regions as well as conventional sandstone (CS)

    and conventional carbonate (CC) formations

    in the San Juan basin and areas of the mid-

    continent and Texas.

    The 1996 GTI work concluded that docu-

    mented refracturing treatments had yielded

    incremental reserves at about $0.10/Mcf to

    $0.20/Mcf, much less than the average costs for

    acquiring or for finding and developing gas

    reserves of $0.54/Mcf and $0.75/Mcf, respec-

    tively. Despite the potential economic benefits,

    operators remained reluctant to refracture

    wells. Poor candidate selections appeared to be

    the main reason for lack of restimulation

    success and acceptance among operators.

    In response, GTI funded another project in

    1998 to develop specialized restimulation tech-

    nology and analysis techniques. The need for

    this project was underscored by anecdotal obser-

    vations from the 1996 investigation that 85% of

    refracturing potential in a given field exists in

    about 15% of the wells. Identifying these topcandidates is crucial to restimulation success.

    However, operators often perceive comprehen-

    sive field-wide studies to be too costly in terms

    of money and manpower for companies operat-

    ing unconventional reservoirs, especially when

    gas prices are low.

    40 Oilfield Review

    3. Parrot DI and Long MG: A Case History of MassiveHydraulic Refracturing in the Tight Muddy JFormation, paper SPE 7936, presented at the SPESymposium on Low-Permeability Gas Reservoirs,Denver, Colorado, USA, May 2022, 1979.

    Conway MW, McMechan DE, McGowen JM,Brown D, Chisholm PT and Venditto JJ: ExpandingRecoverable Reserves Through Refracturing, paperSPE 14376, presented at the SPE Annual TechnicalConference and Exhibition, Las Vegas, Nevada, USA,September 2225, 1985.

    Hunter JC: A Case History of Refracs in the Oak Hill(Cotton Valley) Field, paper SPE 14655, presented at the

    SPE East Texas Regional Meeting, Tyler, Texas, USA,April 2122, 1986.

    Olson KE: A Case Study of Hydraulically RefracturedWells in the Devonian Formation, Crane County, Texas,paper SPE 22834, presented at the SPE Annual TechnicalConference and Exhibition, Dallas, Texas, USA,October 69, 1991.

    Fleming ME: Successful Refracturing in the NorthWestbrook Unit, paper SPE 24011, presented at theSPE Permian Basin Oil and Gas Recovery Conference,Midland, Texas, USA, March 1820, 1992.

    Hejl KA: High-Rate Refracturing: Optimization andPerformance in a CO2 Flood, paper SPE 24346, presentedat the SPE Rocky Mountain Regional Meeting, Casper,Wyoming, USA, May 1821, 1992.

    Pospisil G, Lynch KW, Pearson CM and Rugen JA:Results of a Large-Scale Refracture StimulationProgram, Kuparuk River Unit, Alaska, paper SPE 24857,

    presented at the SPE Annual Technical Conference andExhibition, Washington, DC, USA, October 47, 1992.

    Hunter JL, Leonard RS, Andrus DG, Tschirhart LR andDaigle JA: Cotton Valley Production Enhancement TeamPoints Way to Full Gas Production Potential, paperSPE 24887, presented at the SPE Annual TechnicalConference and Exhibition, Washington, DC, USA,October 47, 1992.

    Reese JL, Britt LK and Jones JR: Selecting EconomicRefracturing Candidates, paper SPE 28490, presented at

    the SPE Annual Technical Conference and Exhibition,New Orleans, Louisiana, USA, September 2528, 1994.

    Fengjiang W, Yunhong D and Yong L: A Study ofRefracturing in Low Permeability Reservoirs, paperSPE 50912, presented at the SPE International Oil &Gas Conference and Exhibition, Beijing, China,November 26, 1998.

    4. Type curves help interpret transient-pressure buildup

    tests that differ from conventional semilog, or Horner,analysis radial-flow behavior. Type curves are groups ofpaired pressure changes and their derivatives generatedfrom analytical solutions of the diffusion equation withstrategically defined boundary conditions. Near-wellboundary conditions include constant or variable well-bore storage, partial reservoir penetration, compositeradial damage or altered permeability, and proppedhydraulic fractures. Borehole trajectory can be vertical,angled, or horizontal. Distant boundary conditions includesealing or partially sealing faults, intersecting faults andsealing or constant-pressure rectangular boundaries.The diffusion equation can be adjusted to accommodatereservoir heterogeneity, such as dual porosity or layer-ing. Commercial software generates type-curve families

    that account for superposition in time due to flow-ratevariations before and even during transient-pressuredata acquisition. Automated regression analysis canmatch acquired data with a specific type curve.

    5. Reeves SR, Hill DG, Tiner RL, Bastian PA, Conway MWand Mohaghegh S: Restimulation of Tight Gas SandWells in the Rocky Mountain Region, paper SPE 55627,presented at the SPE Rocky Mountain Regional Meeting,Gillette, Wyoming, USA, May 1518, 1999.

    Reeves SR, Hill DG, Hopkins CW, Conway MW, Tiner RLand Mohaghegh S: Restimulation Technology for TightGas Sand Wells, paper SPE 56482, presented at the SPEAnnual Technical Conference and Exhibition, Houston,Texas, USA, October 36, 1999.

    Green River

    USAPiceance

    TGS

    TGS

    CC

    CC CC

    TGS

    TGS

    GS

    GS

    TGSGS

    CBM

    CSTGS

    CSTGS

    CS, TGS, CBMSan Juan

    Hugoton

    Denver-Julesburg

    Conventional sands (CS)

    Conventional carbonates (CC)

    Tight-gas sands (TGS)

    Coalbed methane (CBM)

    Gas shales (GS)

    Anadarko

    Delaware

    PermianBarnett Shale

    Val Verde

    TGS

    South Texas

    East Texas

    Black Warrior

    Michigan

    Appalachian

    N

    0

    0 400 800 1200 1600 km

    250 500 750 1000 miles

    > Areas with refracturing potential in the USA. The 1996 Gas Technology Institute (GTI) restimulationinvestigation evaluated a wide range of gas reservoirs, including conventional sandstone and carbon-ate formations, tight-gas sands, gas shales and coalbed methane deposits. This evaluation focusedon conventional gas-producing provinces with cumulative production greater than 5 Tcf [143.2 billionm3] for further evaluation. Higher production implied high numbers of older wells and more refractur-ing opportunities. The study also identified tight-gas sand areas with an estimated ultimate recovery(EUR) greater than 1 Tcf [28.6 billion m3] and the largest gas shale and coalbed methane develop-ments, but did not include offshore developments with limited production and recovery information.

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    Autumn 2003 41

    Project participants, including Advanced

    Resources International, Schlumberger,

    Intelligent Solutions, Ely and Associates,

    Stim-Lab and Pinnacle Technologies, believed

    that developing an effective methodology to

    identify wells with restimulation potential was

    one way to expand refracturing applications.

    There were three other objectives: demonstrate

    productivity enhancement and recovery

    improvement from refracturing, identify reasons

    for underperformance in previously fractured

    wells, and evaluate new fracturing techniques

    and technology.

    The 1998 GTI study evaluated three methods

    for identifying refracturing potential that were

    then tested in different types of reservoirs.

    These candidate-selection methods included

    production statistics, pattern-recognition tech-

    nologyspecifically neural networks, virtual

    intelligence and fuzzy logicand production

    type curves (right).4

    All three methods were used to select restim-

    ulation candidates at field locations with at least200 to 300 wells.5 Three sites in the USAGreen

    River basin, Wyoming, USA; East Texas basin,

    Texas; and Piceance basin, Colorado, USA

    were chosen and actively evaluated (below): A

    fourth site in South Texas was identified, but not

    pursued during the GTI project. Subsequent

    reservoir studies, however, have generated

    recent refracturing activity in this area (see

    Production-Enhancement Evaluation,page 52).

    Of the nine wells eventually treated at the

    three active project sites, eight were refracturing

    treatments and one was an attempted damage

    removal treatment. As the projec

    progressed, treatment designs trended away

    from high-viscosity polymer-base systems to

    fracturing fluids with lower and lower gel con

    centrations, or slick water. Most treatment

    Inte

    rpretationrequirements

    Data requirements

    Type curves

    Production statistics

    Virtual intelligence

    Timea

    ndcos

    tincre

    ase

    HighLow

    Low

    High

    > Candidate-selection methods. The GTI project developed a methodology foridentifying wells with restimulation potential that used production statistics,virtual intelligence and production type curves. By design, these techniquesprogressed from a simple, nonanalytical statistical approach with minimaldata requirements to detailed engineering analyses requiring increasinglycomprehensive data.

    Green River basin GTI site

    Operator:

    Enron Oil and Gas, now EOG resources.

    Formation:Upper Cretaceous Frontier.

    Location:Big Piney/LaBarge complex, northern Moxa Arch area,southwestern Wyoming, USA.

    Deposition:

    Marine sandstones, primarily rivers and streams, orfluvial and distal shore zones.

    Reservoir:

    Tight-gas sands with permeability of 0.0005 to 0.1 mDin up to four productive horizons, consisting of as manyas eight separate intervals, or benches.

    Initial completions:One to three stages of a crosslinked guar fluid andnitrogen foam with 100,000 to 500,000 lbm [45,359 to226,796 kg] of proppant sand.

    GTI restimulations:

    Three refracturing treatments and one gel-cleanuptreatment.

    Piceance basin GTI site

    Operator:

    Barrett Resources, now Williams Company.

    Formation:Mesaverde group, Upper Cretaceous Williams Fork.

    Location:Parachute and Grand Valley fields near Rulison,Garfield County, Colorado, USA.

    Deposition:

    Marine sandstones, primarily fluvial and marsh,or paludal.

    Reservoir:

    Compartmentalized tight-gas sands with permeabilityof 0.1 to 2 mD. Because of natural fractures, effectivepermeability is 10 to 50 mD.

    Initial completions:Two to five stages with proppant volumes of 50,000to 650,000 lbm [22,680 to 294,835 kg] per stage.

    GTI restimulations:

    Two refracturing treatments.

    East Texas basin GTI site

    Operator:

    Union Pacific Resources Company (UPRC), nowAnadarko Petroleum Corporation.

    Formation:Cotton Valley.

    Location:Carthage Gas Unit (CGU) field nearCarthage, Panola County, Texas, USA.

    Deposition:

    Complex marine sandstones, primarily barrier reef andtidal zone.

    Reservoir:

    Heterogeneous, highly laminated and compartmentalizedtight-gas sands with permeability of 0.05 to 0.2 mD.

    Initial completions:Three to four stages of a crosslinked fluid and proppantvolumes of 1 to 4 million lbm [453,592 to 1,814,370 kg]for an entire well; 1996 to present, UPR and Anadarkoused slick-water fluids with less than 250,000 lbm[113,398 kg] of proppant.

    GTI restimulations:

    Three refracturing treatments.

    > The 1998 GTI restimulation study to evaluate refracturing candidate-selection methods at three USA test sites.

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    included nitrogen [N2] or carbon dioxide [CO2]

    to assist in post-stimulation cleanup, single-

    stage pumping schedules and ball sealers for

    fluid diversion to reduce cost compared with

    multistage treatments.Standard decline-curve analysis determined

    estimated ultimate recovery (EUR) for each

    well ; estimated treatment co st prov ided an

    undiscounted cost of incremental reserve

    additions. Costs for diagnostic tests conducted

    for research purposes only were not included,

    only actual expenses for treatment

    implementation. The project team analyzed all

    nine wells to better understand each candidate-

    selection method.6

    The team considered treatments generatingincremental reserves at a cost of less than

    $0.50/Mcf as economic successes. On this basis,

    six of the nine wells restimulated at the three

    sites were successful (above). All nine wells

    combined added 2.9 Bcf [83 million m3] of incre-

    mental reserves at a total cost of $734,000, or an

    average reserve cost of $0.26/Mcf.

    Excluding the damage-removal treatment

    and the poorly designed treatment that did not

    flow back, the six successful restimulations and

    one uneconomic treatment added incremental

    reserves at about $0.20/Mcf. This cost is closer to

    the $0.10 to 0.20/Mcf range of past restimula-

    tions, even though post-treatment evaluations

    indicated that a few pay zones in some of the

    wells were not stimulated effectively. Even when

    the three unsuccessful treatments are included,

    this field trial was highly successful, yielding

    additional reserves of 300 MMcf/well [8.6 million

    m3/well] at an average cost of $81,600 per well.

    There are about 200,000 unconventional gas

    we ll s in lo w- pe rm ea bi li ty sa nd s, co al be d

    methane deposits and gas shales in the 48 con-

    tiguous states of the USA. At least 20%, or about

    40,000 wells, could be potential restimulation

    candidates. Extrapolating GTI results using the

    average incremental recovery of 300 MMcf/well

    yie lds 12 Tcf [343.6 bil lion m3] of additional

    reserves from refracturing. Companies operating

    in the Green River and East Texas formationscontinued to perform restimulation treatments

    using knowledge gained from this study.

    Candidate-Selection Methods

    Overall, the GTI refracturing tests were success-

    ful, but did not definitively identify a single

    candidate-selection method as most effective.

    Each technique tends to select different wells

    for different reasons that may all be valid,

    depending on specific reservoir characteristics

    (next page, top). Production statistics worked

    reasonably well in the Piceance basin. Virtual

    intelligence and pattern recognition workedbest in the Green River basin. Type curves were

    most effective in the East Texas basin. Clearly,

    additional evaluations were needed to validate

    the effectiveness of each technique and to

    advance refracturing acceptance.

    A re servoi r simula tion of a hypothet ical

    tight-gas field was designed for this purpose.7

    The objective of this study was to independently

    test and validate candidate-selection methods

    against the simulation model. Results from this

    simulation confirmed that each candidate-

    selection method being studied tended to yield

    different candidates. And like the 1998 GTIrestimulation study, some wells were selected by

    more than one of the methods. The virtual-intel-

    ligence method was generally most effective,

    followed closely by type curves. With less effi-

    ciency than random selections, production

    statistics alone were the least effective method.

    42 Oilfield Review

    2864 m3/d 5727 m3/d 8590 m3/d 11,455 m3/d

    0

    50

    100

    150

    200

    250

    Post-restimulation

    rate,

    Mcf/D

    500 150100 250200 350 400300

    Pre-restimulation rate, Mcf/D

    300

    350

    400

    450

    CGU 10-7

    GRB 45-12

    CGU 3-8RMV 55-20

    CGU 15-8

    NLB 57-33

    WSC 20-09

    GRB 27-14

    Langstaff 1

    Sitefield/basin Well Date

    Incrementalrecovery, MMcf

    Treatmentcost, $

    Reservecost, $/Mcf

    Success/failure

    Big Piney

    and LaBarge/

    Green River

    Rulison/

    Piceance

    Carthage/

    East Texas

    Jan. 1999

    Jan. 1999

    Apr. 1999

    Jun. 2000

    Jun. 2000

    Jun. 2000

    Nov. 1999

    Jan. 2000Jan. 2000

    GRB 45-12

    GRB 27-14

    NLB 57-33

    WSC 20-09

    Langstaff 1

    RMV 55-20

    CGU 15-8

    CGU 10-7CGU 3-8

    Total

    Average

    602

    (186)

    0

    302

    282

    75

    270

    4071100

    2852

    317

    87,000

    87,000

    20,000

    120,000

    50,000

    70,000

    100,000

    100,000100,000

    734,000

    82,000

    0.14

    NA

    NA

    0.40

    0.18

    0.93

    0.37

    0.250.09

    0.26

    S

    F

    F

    S

    S

    F

    S

    SS

    > GTI field-test results. Two of the four wells in the Frontier formation (Green River basin), all three ofthe wells in the Cotton Valley formation (East Texas basin), and one of the two wells in the WilliamsFork formation (Piceance basin) were successful. Of the three unsuccessful treatments, one addedincremental reserves at a cost of $0.93/Mcf and two had mechanical or design problems. Of the latter

    two, in one, the damage-removal treatment could not be pumped at the injection rate required to flu-idize the original proppant pack and remove suspected residual gel damage from the initial treatment;

    the other failed to clean up because energized fluids were not used as recommended in the GTI design.

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    Autumn 2003 43

    The first stage of the 1998 GTI study and

    results from this simulation provided valuable

    insights into the effectiveness of each candidate

    selection methodology, but each technique

    needed to be tested using real field data. Rather

    than establish a new database of restimulation

    cases for this purpose, as was the original overal

    project objective, participants in the 1998 GT

    study sought a field with a history of restimula

    tion activity and results. With an existing

    dataset, the approach used for the simulato

    study could be repeated in an actual field setting

    to evaluate each candidate-selection method.

    As follow-up to the reservoir simulation, GTI

    selected the Wattenburg field to further evaluate

    candidate selection methods using actual field

    data. This tight-gas development, located north

    of Denver, Colorado, on the western edge of the

    Denver-Julesburg basin, was attractive because

    more than 1500 area wells had been refractured

    since 1977. Most of these treatments were eco

    nomically successful.8

    Patina Oil & Gas Corporation, a leadingoperator in this basin, had performed about

    400 fracture restimulations from 1997 through

    2000, and agreed to participate. This allowed a

    candidate-selection algorithm developed

    independently by Patina to be used in addition to

    the three GTI candidate-selection methods.

    The methods were evaluated without disclos

    ing beforehand those wells that had actually

    responded favorably to restimulation. Afterward

    candidate selections were compared with actua

    well performance. This approach allowed the

    effectiveness of each method to be assessed

    Candidate selection using actual Wattenburgfield data confirmed previous GTI study and

    reservoir-simulation results.

    Prioritizing refracturing candidates provides

    considerable value during restimulation

    programs. In the absence of prior restimulation

    results, both pattern recognition and type curve

    are useful for selecting restimulation candi

    dates; production statistics are less effective

    Vi rt ua l in te ll ig en ce an d ot he r pa tt er n

    recognition techniques, which use prio

    refracturing data and results to learn from

    can further improve candidate selection and

    restimulation success. The GTI field trialsreservoir simulation and Wattenburg field

    evaluation confirmed that the performance o

    each candidate-selection method appeared to be

    reservoir specific (bottom left).

    6. Ely JW, Tiner R, Rothenberg M, Krupa A, McDougal F,Conway M and Reeves S: Restimulation ProgramFinds Success in Enhancing Recoverable Reserves,paper SPE 63241, presented at the SPE Annual TechnicalConference and Exhibition, Dallas, Texas, USA,October 14, 2000.

    7. Reeves SR, Bastian PA, Spivey JP, Flumerfelt RW,Mohaghegh S and Koperna GJ: Benchmarking ofRestimulation Candidate Selection Techniques inLayered, Tight Gas Sand Formations Using ReservoirSimulation, paper SPE 63096, presented at the SPEAnnual Technical Conference and Exhibition, Dallas,Texas, USA, October 14, 2000.

    Site,field/basin

    Big Piney

    and LaBarge/

    Green River

    Rulison/

    Piceance

    Carthage/East Texas

    WellProductionstatistics

    Virtualintelligence

    Top 50 candidate-well ranking

    Typecurves

    Success/failure

    *Revised analysis

    Note: Bold italic numbers indicate correct classifications (true positive or true negative)

    GRB 45-12

    GRB 27-14

    NLB 57-33

    WSC 20-09

    Langstaff 1

    RMV 55-20

    CGU 15-8CGU 3-8

    CGU 10-7

    >50

    >50

    4

    38

    1

    43

    >50>50

    4

    *15

    *39

    *>50

    *2

    >50

    >50

    >50>50

    26

    >50

    32

    20

    1

    >50

    17

    11

    7

    40

    S

    F

    F

    S

    S

    F

    SS

    S

    > Candidate-selection performance. Based on the economic criterion of adding incremental reservesat less than $0.5/Mcf, the GTI study evaluated the capability of each candidate-selection method tocorrectly select successful refracturing candidates or to not select unsuccessful candidates. Thisdetermination was based on whether each method ranked a well among the top 50 candidates ornot. The three methodsproduction statistics, virtual intelligence and pattern recognition, and typecurvesidentified successful refracturing candidates or noncandidates in at least four of the nine

    test wells, five in the case of virtual intelligence. The three methods combined identified only two ofthe five successful treatments and none of the three unsuccessful wells.

    15

    89 53

    9371

    49

    10

    50

    14

    145103

    4

    12052 83

    7

    5

    Production statistics Virtual intelligence

    Type curves

    < Candidate selection from the GTIreservoir-simulation study. The top18 refracturing candidates repre-sent 15% of the wells from thereservoir stimulation. Virtual intelli-gence independently selected 10of the 13 true candidate wells, themost of any method. These 10wells consisted of five that wereuniquely selected by virtual intelli-gence, one well that was alsoselected by production statistics,

    two wells that were also selectedby type curves, and two wells that

    were selected by all three tech-niques. The type-curve methodadded three true candidate wells

    to the combined selections, mak-ing the combined number ofcorrect selections between the vir-

    tual intelligence and type-curvemethods 13 out of 13. In practice,however, no one knows in advancewhich wells are true candidates.

    8. Emrich C, Shaw D, Reasoner S and Ponto D: CodellRestimulations Evolve to 200% Rate of Return, paperSPE 67211, presented at the SPE Production andOperations Symposium, Oklahoma City, Oklahoma, USA,March 2427, 2001.

    Shaefer MT and Lytle DM: Fracturing Fluid EvolutionPlays a Major Role in Codell Refracturing Success,paper SPE 71044, presented at the SPE Rocky MountainPetroleum Technology Conference, Keystone, Colorado,USA, May 2123, 2001.

    Sencenbaugh RN, Lytle DM, Birmingham TJ,Simmons JC and Shaefer MT: Restimulating Tight GasSand: Case Study of the Codell Formation, paper SPE71045, presented at the SPE Rocky Mountain PetroleumTechnology Conference, Keystone, Colorado, USA,May 2123, 2001.

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    Ana lys is of pro ductio n statis tics ten ds to

    identify completions that underperform

    compared with offset wells. Substandard perfor-

    mance could result from a poor quality reservoir,

    but this method should be valid in fields with

    relatively uniform reservoir quality and fairly

    stable production.

    Virtual-intelligence methods tend to select

    we ll s th at ha ve le ss th an op ti ma l or ig in al

    completions or stimulation procedures. Pattern-

    recognition technologies should be applied

    when reser voir, compl et ion and sti mulation

    complexity is high.

    Type curves tend to identify candidate wells

    based solely on incremental production poten-

    tial, and therefore, weights the better producing

    wells in a field more heavily. This method should

    be used when production data quality is good and

    petrophysical information is readily available.

    The applicability of any candidate-selection

    process should be assessed for each specific

    area being evaluated. In effect, an ideal

    methodology may combine several techniques.The three efforts to evaluate candidate-selection

    methods also indicated that nonanalytical

    analyses, such as evaluating current producing

    rate and estimated ultimate recovery to identify

    underperforming wells, could be useful for

    candidate selection in the absence of

    other approaches.

    A Field-Wide Evaluation

    Prior to 1999, refracturing by Patina Oil & Gas

    Corporation in the Wattenburg field had primar-

    ily targeted underperforming wells and

    completions that screened out prematurely or

    had mechanical failures during the initial stimu-

    lation. When other operators began restimulating

    their better producers with varying, but generally

    encouraging results, Patina initiated a field-wide

    evaluation of refracturing potential.

    The Wattenburg field produces mainly from

    the Codell interval. This fine-grained sandstone,

    deposited in a marine-shelf environment, is a

    member of the Upper Cretaceous Carlisle shale.

    The Codell reservoir contains 15 to 25% clay by

    volume in mixed layers of ill ite and smectite

    that fill and line the pore spaces.

    The pay interval is 14 to 35 ft [4.3 to 10.7 m]

    thick, 6800 to 7700 ft [2073 to 2347 m] deep and

    continuous across the field. Permeability is

    less than 0.1 mD. Porosity from density logs is

    8 to 20%. Initially, the reservoir was over-

    pressured with a gradient of about 0.6 psi/ft

    [13.5 kPa/m]. Bottomhole temperature is 230 to

    250F [110 to 121C]. Wells are drilled on a

    40-acre [162,000-m2] spacing.

    During 1998, Patina compiled a database of

    250 fracture restimulations on both operatedand nonoperated properties. After eliminating

    wells tre ate d with bor ate cro ssl ink ed fluids,

    wh ich we re 20% less productive than other

    we ll s, co mp an y en gi ne er s fo cu se d on th e

    remaining 200 wells. These wells had been res-

    timulated with carboxymethyl hydropropyl guar

    (CMHPG) or hydropropyl guar (HPG) fluids.

    Further evaluation identified 35 discrete

    geologic, completion and production parameters

    related to well performance. Linear-regression

    analysis helped determine those parameters

    that correlated with peak incremental produc-

    tion after refracturing. Two technical

    improvements from this field-wide evaluation

    provided an order-of-magnitude improvement in

    restimulation results.

    The first was application of carboxymethy-

    late guar (CMG) fluids with lower polymer

    loadings, which maintain proppant transport

    and minimize residual proppant-pack damage

    from unbroken and unrecovered gel. Nondamag-

    ing fluids are particularly important in the

    refracturing of low-permeability formations

    where long-term gas saturation has been estab-

    lished and reservoir pressure may be depleted.

    The second improvement was a candidate-

    selection method developed by Patina that uses

    historical restimulation results in the basin.

    Together with CMG fluids, this statistically

    based algorithm achieved significant improve-

    ments in selection of the best refracturing

    candidates (below). Average peak incremental

    production rate almost doubled from just over

    1000 to about 2000 barrels of oil equivalent

    (BOE)/well/month [159 to 318 m3/well/month],

    which equaled about 80% of the average initialproduction rate. The associated rate-of-return

    on refracturing investments increased from 66%

    to more than 200% at $2.50/Mcf. Estimated

    incremental recoveries increased from 25 to 38

    million BOE per well [4 to 6 million m3/well].

    Only about 3% of refracturing treatments

    resulted in economic failures, primarily because

    the propped fractures communicated with the

    overlying Niobrara formation or an offset well.

    This failure rate may become higher as refrac-

    turing density increases. The overall success of

    this program resulted from stringent

    well- sel ect ion crite ria, str ict qua lit y-c ont rol

    44 Oilfield Review

    2500

    2000

    1500

    1000

    Peakpro

    duction,

    BOE/well/month

    Development and application of geneticalgorithm for candidate selection

    CMG fluids

    1997 1998 1999 2000

    500

    0

    Patina

    Others

    > Historical refracturing performance in the Wattenburg field, Colorado. The combined applications of CMG stimulation fluids andthe candidate-selection algorithm developed by Patina Oil & Gas significantly improved restimulation results in Patina-operated wells.

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    Autumn 2003 45

    guidelines for treatment fluids and effective

    operational practices in the field.

    Other area operators have reported similar

    improvements in productivity, economic results

    and recovery from refracturing.9 Based on these

    results, more than 4000 other wells in the

    Piceance basin may be candidates for restimula-tion. Patina engineers continue to expand their

    already extensive refracturing database and fine-

    tune the candidate-selection algorithm. In some

    wells, Patina and other area operators are now

    successfully fracturing wells for a third time.

    Candidate-Selection Criteria

    The Patina Oil & Gas linear-regression analysis

    identified five statistically significant variables

    that were incorporated into the Wattenburg field

    candidate-selection algorithm (above). Although

    statistically less significant, a sixth variable

    maximum differential recovery in BOE, wasadded to help predict restimulation results for

    economic evaluation purposes.

    Hydrocarbon pore volume, or porosity-feet,

    the most statistically significant parameter, is

    incorporated in the cumulative and ultimate

    recovery factors. Gas/oil ratio, which varies

    from about 5000 to 35,000 scf/bbl [900 to

    6304 m3/m3], correlates to higher recovery wells

    from original and refractured completions

    primarily in and around central areas of the

    field. This is indicative of greater relative perme-

    ability to gas because formation thickness andreservoir permeability are relatively uniform

    across the field.

    Well compl etions tha t use d lim ite d-ent ry

    perforating across both the Codell and Niobrara

    formations resulted in shorter effective fracture

    lengths in the Codell than those completed only

    in the Codell. Cumulative and ultimate recovery

    factors determined from individual well and

    reservoir parameters coupled with decline-curve

    analysis indirectly represented the extent of

    depletion and the capability of the reservoir to

    flow back and clean up treatment fluids. These

    factors also provided an indication of whethernew hydraulic fractures might reorient with

    respect to the original propped fracture (see

    Fracture Reorientation,page 47).

    The maximum differential BOE is the differ-

    ence in ultimate recovery between the subject

    well and the best well within 1 mile [1.6 km]

    This parameter gives an indication of upside

    reserve potential in the immediate vicinity of a

    subject well. Engineers eliminated some vari

    ables, such as faulting, treatment size and

    perforated interval, which were statistically

    insignificant. Well location is not significant in

    this field because of the relatively uniform

    reservoir quality.

    Post-refracturing performance continues to

    support added reserves above baseline projec

    tions for the original completions because the

    initial completion in most of the wells was not

    effectively draining the 40 acres allotted to each

    well in the development pattern. A reevaluation

    of 1000 refracturing treatments indicated good

    correlation with the best fit of actual results. To

    some extent, these variables can be quantified

    for individual wells by analyzing actual produc

    tion in terms of long-term pressure drawdown

    using production type-curve analysis techniques

    Production type-curve analysis requires more

    analysis time, but effectively forecasts restimulation results with a higher degree of accuracy

    than do other statistical techniques.

    Variations still existed, but overall the Patina

    algorithm successfully ranked restimulation

    potential on a field-wide basis. The variability in

    refractured well performance appears to resul

    from an inability of statistical methods to

    differentiate between actual drainage areas

    differences in matrix permeability, effective

    fracture lengths from the original stimulation

    and the impact of liquid condensate loading, or

    banking, around these wellbores using only

    production and completion parameters.10The fundamental objective of refracturing is

    to enhance well productivity. However, restimu

    lation is viable only if wells are underperforming

    because of completion-related problems, no

    because of poor reservoir quality. Neither frac

    turing nor refracturing can turn margina

    producers in poor reservoirs into good wells. To

    prioritize and select refracturing candidates

    engineers must understand the reasons for poor

    performance in previously fractured wells.

    Rank Parameter DescriptionStatistical

    significance

    1

    2

    3

    4

    5

    6

    Hydrocarbon volume,porosity-feet

    Cumulativerecovery factor

    Initial completion

    Estimated ultimaterecovery (EUR) factor

    Gas/oil ratio

    Maximum differentialrecovery, million BOE

    Net pay for Codell above a10% density porosity cutoff

    Cumulative gas recovered dividedby original gas in place (OGIP) for40-acre drainage area

    Peak rate premium assignedif well was originally completedlimited entry in Codell-Niobrara

    EUR divided by OGIP for 40-acredrainage area

    Projected ultimate gas/oil ratio

    EUR difference between subjectwell and best offset well withinone mile of subject well

    38%

    17%

    9%

    11%

    20%

    5%

    > Patina Oil & Gas statistical algorithm. Of the five statistically significantvariables of the candidate-selection algorithm for Wattenburg field, hydro-carbon volume in porosity-feet represents reservoir quality, initialcompletion represents the initial completion, and the other threecumula-

    tive recovery factor, estimated ultimate recovery factor and gas/oilratiorepresent well performance. Well location is not significant becauseof the relatively uniform reservoir quality. However, higher, and therefore bet-

    ter, gas/oil ratios do tend to occur in the center of the field. The sixth variablemaximum differential recovery in BOE helps predict restimulation potentialfor economic evaluations.

    9. Shaefer and Lytle, reference 8.

    Sencenbaugh et al, reference 8.10. Barnum RS, Brinkman FP, Richardson TW and

    Spillette AG: Gas Condensate Reservoir Behaviour:Productivity and Recovery Reduction Due toCondensation, paper SPE 30767, presented at the SPEAnnual Technical Conference and Exhibition, Dallas,Texas, USA, October 2225, 1995.

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    Completion-Related Underperformance

    To aid in problem diagnosis, the 1998 GTI

    project established a framework to classify

    well-performance problems (above). For tight-

    gas wells, three specific problems, ranked in

    order of highest perceived restimulation poten-

    tial were identified:

    Unstimulated or bypassed pay

    Insufficient fracture conductivity

    Insufficient fracture length.

    Ineffective or problematic initial comple-

    tions are the most common type of problem.

    Examples include lack of quality control duringinitial fracture treatments, residual polymer

    damage from stimulation fluids, inappropriate

    proppant selection, premature screenout, under-

    designed fracturing treatments, incompatible

    fluids and single-stage treatments that leave

    some pay intervals unstimulated.

    Hydraulic fractures can lose effectiveness in

    the years after an initial stimulation treatment

    because of gradual damage that occurs over the

    life of a well. Examples include loss of fracture

    conductivity from proppant crushing or embed-

    ding in the formation and plugging of the pack

    by formation fines or scale deposition. Proppantflowback from the near-well area can allow the

    hydraulic fractures to close. Typically, little

    information is available to identify these

    specific mechanisms.

    Wells with these types of problems have the

    greatest potential for remediation by refractur-

    ing. In older wells that have a higher occurrence

    of these problems, reservoir pressure must be

    sufficient to justify refracturing, both in terms of

    remaining reserves and adequate flowback of

    treatment fluids. Well age may be the best indi-

    cator of gradual damage and the possibility of

    applying new stimulation technology.

    Diagnosing production damage, a second

    major category of problems, often is difficult.

    Proppant flowback, fluid damage and high skin

    factors, frequent remedial workovers, and fines

    or scale deposits during the onset of multiphase

    flow or water breakthrough are manifestations

    of problems that develop over time. Any

    combination of these may indicate that well pro-

    ductivity has deteriorated over time.A third category, advances in completion and

    stimulation technology, also provides opportuni-

    ties to restimulate wells originally completed

    using older technology. New treatment designs,

    advanced computer models, less damaging

    fracturing fluids, improved fluid additives and

    proppants help create longer, wider, more

    conductive fractures. In some sense, this

    category is a subset of the previous two because

    older technology often is synonymous with less

    effective initial completions where more gradual

    damage has occurred.

    It is important to determine what types ofproductivity problems correlate with the best

    refracturing candidates in a field, area or basin.

    Engineers can gain information about specific

    well-completion problems and how to remediate

    them by reviewing individual well records.

    Unstimulated zones typically result from

    using limited-entry diversion or from fracturing

    multiple pay horizons in a single-stage treat-

    ment. This well-completion problem may

    represent the greatest restimulation potential for

    two reasons. First, tight-gas wells are frequently

    multiple-zone completions. The tendency is to

    treat multiple intervals in fewer stages to reduce

    treatment cost. Second, enhanced well produc-

    tivity from stimulation of new zones almost

    always represents an incremental reserve addi-

    tion, not just an increase in production rate and

    accelerated reserve recovery.

    A lo w ratio of frac ture -tre atment stag es

    and proppant volume to the number and distri-

    bution of net-pay intervals is an indicator of

    potentially understimulated or unstimulated

    zones. Radioactive tracer surveys, well tests,

    production-decline curves and production logs

    also help diagnose unstimulated or poorly

    performing intervals.

    Insufficient conductivity of an initial

    propped fracture probably represents the next

    highest restimulation potential. However, the

    distinction between rate acceleration and true

    incremental reserve addition from increased

    conductivity after refracturing is often blurred.Examples include insufficient proppant strength

    for the fracture-closure pressure at reservoir

    depth, proppant settling, low proppant concen-

    trations and damage to proppant packs by

    partially broken and unbroken gel.

    Capturing incremental reserves at the outer

    margin of a drainage area by increasing fracture

    length is difficult. A relatively small treatment

    compared with the higher net-pay thickness is

    generally indicative of limited fracture length.

    Generating longer hydraulic fractures can be

    expensive unless the initial treatment was

    extremely small. However, if restimulationachieves additional fracture length and expands

    the drainage area of a well, incremental produc-

    tion should represent a true reserve addition.

    A review of the initial fracturing treatment

    and flowback helps identify possible limited

    fracture conductivity and length. Well-test

    and production-decline analyses also help diag-

    nose these conditions. A short period of linear

    flow followed by radial flow after fracturing

    indicates insufficient fracture conductivity or

    inadequate length.

    Refracturing opportunities also exist as a

    result of field development and well productionprovided wells have enough pressure to flow

    back and produce, even if energized treatment

    fluids or artificial lift is required. In addition to

    lower pore pressure, pressure depletion also

    implies higher effective stress, which results in

    less hydraulic fracture width and longer lateral

    extension for the same volumes of treatment

    fluid and proppant.

    46 Oilfield Review

    Wellunderperformance

    Ineffective or problematicinitial completions.Unstimulated horizons. Low fracture conductivity. Short fracture length. High skin, or damage

    Technology evolution. Advanced stimulation technology. New completion techniques.Well age

    Gradual formation damageduring production. Scale and fines.Workover frequency.Well age

    > Potential causes of underperformance in previously stimulated wells. TheGTI restimulation project team established a classification framework to helpdiagnose problems in hydraulically fractured wells that perform below operatorexpectations. At the highest level, there are three broad categories: ineffectiveor problematic initial completions, gradual production damage and advancesin technology or evolving techniques compared with past practices.

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    Autumn 2003 47

    In addition, depletion of pay intervals

    increases the stress contrast between pay inter-

    va ls an d bo un di ng sh al es , wh ic h im pr ov es

    vert ical containment and al lows generation

    of longer fractures. Alteration of horizontal

    in-situ stress around a wellbore and an existing

    fracture also may contribute to fracture reorien-

    tation during restimulation.

    Fracture Reorientation

    Historically, refracturing has been a remedial

    measure performed on poorly producing wells

    with short or low-conductivity initial fractures.

    However, there are numerous examples of

    successful restimulations on previously frac-

    tured wells, especially tight-gas wells, that still

    exhibit linear flowa negative 0.5 slope on

    log-log production-rate plots indicative of deeply

    penetrating, highly conductive fractures. Pro-

    duction tests and history matching using a

    numerical simulator that accommodated orthog-

    onal fractures and horizontal permeability

    anisotropy indicate a strong probability ofrefracture reorientation in many of these wells.

    This concept of fracture reorientation is not

    new and has been modeled in full-scale

    laboratory experiments. In addition, fracture

    reorientation has been observed in soft, shallow

    formations.11 After an initial period of produc-

    tion, stress changes around existing wells with

    effective initial fracture treatments may allow

    new fractures to reorient and contact areas of

    higher pore pressure.

    Laboratory tests have also shown that matrix

    pore-pressure changes influence hydraulic frac-

    ture orientation in the reservoir volume betweeninjectors and producers in a waterflood.12 The

    fractures orient normal, or perpendicular, to the

    higher stress gradient. Fractures initiated from

    producing wells orient towards and intersect

    the injection well if the stress gradient is

    high enough and the in-situ stress anisotropy is

    not dominant.

    Pressure changes around a deeply penetrat-

    ing, highly conductive fracture also create high

    stress gradients normal to the initial fracture

    that may cause fracture reorientation during

    restimulation treatments. Stress changes reach

    a maximum and then diminish with furtherdepletion. An optimal window of time during

    which to perform refracturing treatments can be

    determined.13 Horizontal permeability anisotropy

    further increases these stress changes. Similarly,

    a separate study showed that initial fracture

    orientation is influenced by production in

    unfractured formations that have large horizon-

    tal permeability anisotropy.14

    GTI provided funding for Schlumberger to

    investigate these concepts in greater detail.15

    Numerical simulations during this investigation

    provided evidence that new fractures can form

    at angles up to 90 from the initial propped

    fracture azimuth (below). Fracture reorienta-

    tion bypasses damage caused by drilling and

    completion activities, and avoids zones of

    reduced permeability caused by compaction and

    other flow restrictions, including hydrocarbon

    liquid dropout, or condensate banking, around

    a well.

    The horizontal stress component parallel to

    an initial fracture is reduced more quickly as a

    function of time than the perpendicular compo-

    nent. If these induced stress changes overcome

    the original stress differential, then a new frac-

    ture will initiate and propagate along a different

    azimuthal plane than the initial fracture until i

    reaches the boundary of the elliptical stress

    reversal region. The fracture may continue along

    the new azimuth for some distance beyond thi

    point, depending on formation toughness.

    Many factors contribute to the location o

    the stress-reversal boundary, including produc

    tion history, reservoir permeability, fracture

    dimensions, pay-zone height, elastic properties

    of the pay and bounding barrier zones, and the

    initial horizontal stress contrast. These parame

    ters can be modeled and should be considered

    when selecting refracturing candidates.

    Computer simulations can determine the

    optimal time window for refracturing and

    fracture reorientation. Wells with long initia

    fractures in low-permeability formations have a

    longer time window. Production shut-in periods

    11. Wright CA, Stewart DW, Emanuel MA and Wright WW:Reorientation of Propped Refracture Treatments in theLost Hills Field, paper SPE 27896, presented at the SPEWestern Regional Meeting, Long Beach, California, USA,

    March 2325, 1994.Wright CA, Conant RA, Stewart DW and Byerly PM:Reorientation of Propped Refracture Treatments,paper SPE 28078, presented at the SPE/ISRM RockMechanics in Petroleum Engineering Conference,Delft, The Netherlands, August 2931, 1994.

    Wright CA and Conant RA: Hydraulic FractureReorientation in Primary and Secondary Recovery fromLow-Permeability Reservoirs, paper SPE 30484, pre-sented at the SPE Annual Technical Conference andExhibition, Dallas, Texas, USA, October 2225, 1995.

    12. Bruno MS and Nakagawa FM: Pore PressureInfluence on Tensile Propagation in Sedimentary Rock,International Journal of Rock Mechanics and MiningSciences and Geomechanics Abstracts 28, no. 4(July 1991): 261273.

    New fracture

    New fracture

    Isotropic point

    Wellbore

    Isotropic point

    x

    Maximumhorizontalstress

    Minimumhorizontalstress

    Initial fracture

    Stress-reversalregion

    y

    > Stress reorientation and orthogonal fracture extension. This horizontal sec-tion through a vertical wellbore depicts an original hydraulic fracture in thex direction and a second reoriented fracture in the y direction. Fluid pro-duction after placement of the initial fracture can cause a local redistributionof pore pressure in an expanding elliptical region around the wellbore andinitial fracture. The stress-reversal boundary is defined by isotropic points ofequal primary horizontal stresses. Stress reorientation and fracture extensionin a direction away from the initial propped fracture help explain pressureresponses during refracturing treatments and unanticipated productionincreases from refractured wells known to have effective initial fractures.

    13. Elbel JL and Mack MG: Refracturing: Observationsand Theories, paper SPE 25464, presented at the SPEProduction Operations Symposium, Oklahoma City,Oklahoma, USA, March 2123, 1993.

    14. Hidayati DT, Chen H-Y and Teufel LW: Flow-InducedStress Reorientation in a Multiple-Well Reservoir,paper SPE 71091, presented at the SPE Rocky MountainPetroleum Technology Conference, Keystone, Colorado,USA, May 2123, 2001.

    15. Siebrits E, Elbel JL, Detournay F, Detournay-Piette C,Christianson M, Robinson BM and Diyashev IR:Parameters Affecting Azimuth and Length of aSecondary Fracture During a Refracture Treatment,paper SPE 48928, presented at the SPE Annual TechnicaConference and Exhibition, New Orleans, Louisiana,USA, September 2730, 1998.

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    should be minimized to maintain a high pore-

    pressure gradient normal to the initial fracture.

    Aside from this, standard fracture design consid-

    erations should be used.

    Fracture restimulations in the naturally frac-

    tured Barnett Shale, north of Fort Worth, Texas,

    USA, are an example of fracture reorientation.

    These treatments were monitored with an

    array of surface and subsurface tiltmeters

    (below).16 The results suggested significant frac-

    ture reorientation in one well and oblique

    reorientation in the other well. Post-treatment

    production increased substantially in both wells.

    Other refractured wells in the area had similar

    increases. Reservoir depletion combined with

    natural fractures can cause complex fracture

    networks to develop during initial treatments

    and restimulations.

    A Gas-Shale Restimulation Program

    In 1997, Mitchell Energy, now Devon Energy,

    began using greatly reduced polymer concentra-

    tions in treatment fluidscurrently only

    surfactant-base friction-reducing agents are

    usedand much lower volumes of proppant in

    the Barnett Shale formation. These slick-water

    fracturing treatments have been extremely

    successful and are similar to designs used by

    operators for Cotton Valley sandstone stimula-

    tion treatments in the nearby East Texas basin.

    Additional gas-shale development efforts are

    currently under way in other areas of North and

    West Texas. The Barnett Shale, for example, is

    present in wells from the Fort Worth basin to

    the Permian Basin of West Texas, so lessons

    learned in North Texas can be applied in thou-

    sands of wells.

    Deposited in a deep marine environment, the

    Barnett Shale consists of layered mudstone, silt-

    stone and some interbedded limestone with

    open and calcite-filled natural fractures. Matrix

    permeability in this rich organic, fine-grained,

    Mississippian-age shale formation is extremely

    low, about 0.0001 to 0.001 mD. Estimated

    ultimate recovery for a typical Barnett Shale

    well is 0.5 to 1 Bcf [14.3 to 28.6 million m3]. This

    represents a calculated recovery of 8 to 10 % of

    the gas in place. Achieving economic production

    requires large fracturing treatments.

    The Barnett Shale typically lies between the

    upper Marble Falls limestone and the lower Viola

    limestone. In some areas, the Viola formation is

    replaced by the Ellenburger dolomite, which is

    not as competent as the Viola for confining

    hydraulic fractures. The Barnett Shale is 200 to

    1000 ft [61 to 305 m] thick, averaging about

    500 ft [152 m] in the main area of the field.

    In 1999, analysis of near- and far-stress fields

    in the Barnett determined that new fractures

    created during restimulation followed theoriginal fracture plane for a short distance

    before taking a new direction.17 Recent micro-

    seismic surveys conducted during refracturing

    treatments confirm that new fractures propa-

    gate initially in the original northeast-southwest

    direction before diverging along a new north-

    west -southeast azimuth (next page, top).18 In

    addition to fracture reorientation, microseismic

    mapping, such as StimMAP hydraulic fracture

    stimulation diagnostics, also provide evidence of

    complex fractures that contribute further to

    increased well productivity from the Barnett

    Shale (next page, bottom).Infill wells drilled on a spacing as close as

    27 acres [109,300 m2] indicated long elliptical

    drainage patterns. Refracturing, therefore,

    offers significant potential for increased well

    productivity and improved gas recovery by creat-

    ing new fractures that contact other areas of the

    reservoir as a result of fracture reorientation

    and creation of complex hydraulic fracture

    networks. Restimulations also address

    underperformance caused by ineffective well

    completionsprimarily early termination of the

    initial treatmentbypassed or unstimulated

    zones and gradual production damage in thisnaturally fractured formation.

    Barnett Shale completions date back to the

    1980s, when acid breakdown and fracturing

    treatments used high polymer concentrations,

    crosslinked-gel fluids and moderate proppant

    concentrations with minimal external gel

    breaker because of high formation tempera-

    tureabout 200F [93C]. Some of the initial

    48 Oilfield Review

    N

    S

    EW

    Initial fracture azimuth

    Initial injection

    1st 83 minutes

    2nd 83 minutes

    3rd 83 minutes

    Final 83 minutes

    Fracture-induced

    surface trough

    Fracture

    Depth

    Surface tiltmeters

    Downholetiltmeters inoffset well

    > Formation displacement around a vertical hydraulic fracture. Extremelysensitive tiltmeters placed in a radial pattern on the surface around a stimu-lation well candidate (bottom) can monitor fracture azimuth during stimulation

    treatments (top). Fracture geometry is inferred by measuring induced rockdeformations. The deformation field, which radiates in all directions, can alsobe measured downhole by wireline-conveyed tiltmeter arrays in offset wells.

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    Autumn 2003 49

    treatments also included CO2 or N2. Initia

    post-treatment production increases were

    encouraging, but short-lived. These practice

    continued through 1990.

    Early treatments yielded poor fracture

    conductivity because of damage caused by

    incomplete treatment-fluid cleanup and polymer

    degradation, and by the fine silica flour used a

    a fluid-loss additive, which remained in the

    proppant pack. Shorter fracture length resulted

    from small treatment volumes. Data from

    production logs indicated that some sections o

    the Barnett remained untreated or understimu

    lated and provided little or no gas production

    after initial fracturing treatments.

    Gradual completion damage and productivity

    degradation potentially result from insufficien

    initial fracture length, incomplete treatment

    fluid cleanup and relative-permeability

    restrictions caused by water influx from lowe

    formations. In some wells, there is evidence o

    scale deposition when water from incompatible

    sources is used in stimulation treatments. Productivity degradation also occurs as reservoir

    energy decreases. NODAL production system

    analysis indicates that below about 400 Mcf/D

    [11,455 m3/d], high fluid levels in the wellbore

    restrict gas production. Artificial-lift method

    help increase gas output.

    After 1990, operators began reducing poly

    mer concentrations, using N2 for flowback

    assistance, increasing overall fluid and proppan

    volumes, and pumping maximum sand concen

    trations of three pounds of proppant added

    (ppa) per 1000 gal [360 kg of proppant added

    (kgpa) per m3]. These changes were in responseto earlier limited well productivity and disap

    pointing stimulation results. Engineers increased

    the use of external breaker systems, eventually

    eliminating N2 and solid fluid-loss additives

    such as fine silica flour. Incremental production

    from fracture stimulations continued to improve

    as a result of these trends in treatment opti

    mization, which culminated in the advent o

    slick-water treatments in 1997.

    Operators also began to focus on improving

    post-treatment cleanup. Previous procedure

    were conservative, with limited flowback rate

    and treatment cleanup periods that lasted 7 to10 days. The new procedures reflected a more

    aggressive attempt to force fracture closure and

    recover as much treatment fluid as possible in 2

    to 3 days.19

    The evolution of fracturing practices from

    crosslinked gels to slick water and improved

    procedures for treatment-fluid recovery signifi

    cantly enhanced gas production from the

    16. Siebrits E, Elbel JL, Hoover RS, Diyashev IR, Griffin LG,

    Demetrius SL, Wright CA, Davidson BM, Steinsberger NPand Hill DG: Refracture Reorientation EnhancesGas Production in Barnett Shale Tight Gas Wells, paperSPE 63030, presented at the SPE Annual TechnicalConference and Exhibition, Dallas, Texas, USA,October 14, 2000.

    Fisher MK, Wright CA, Davidson BM, Goodwin AK,Fielder EO, Buckler WS and Steinsberger NP: Inte-grated Fracture Mapping Technologies to OptimizeStimulations in the Barnett Shale, paper SPE 77441,presented at the SPE Annual Technical Conferenceand Exhibition, San Antonio, Texas, USA,September 29October 2, 2002.

    Maxwell SC, Urbancic TI, Steinsberger N and Zinno R:

    Microseismic Imaging of Hydraulic Fracture Complexityin the Barnett Shale, paper SPE 77440, presented at theSPE Annual Technical Conference and Exhibition, SanAntonio, Texas, USA, September 29October 2, 2002.

    17. Siebrits et al, reference 16.

    18. Fisher et al, reference 16.

    Maxwell et al, reference 16.

    19. Willberg DM, Steinsberger N, Hoover R, Card RJ andQueen J: Optimization of Fracture Cleanup UsingFlowback Analysis, paper SPE 39920, presented at

    the SPE Rocky Mountain Regional/Low-PermeabilityReservoirs Symposium and Exhibition, Denver, Colorado,USA, April 58, 1998.

    Receivers

    Reservoir

    Offsetwellbore

    Wellbore

    Microseism

    Fracture

    > Microseismic fracture mapping. Microseismic imaging relies on detectionof microearthquakes or acoustic emissions associated with hydraulic frac-

    turing or induced movement of preexisting fractures. This technique usesthree-component sensors, typically 5 to 12 geophones or accelerometers, inan offset observation well to detect these extremely small events, or micro-seisms. Normally, perforating operations in the well being monitored are used

    to calibrate and orient the sensors. As a treatment proceeds, the microseismsgenerated by fracture propagation are detected, oriented and located with

    the reservoir to develop a fracture map.

    Simple fracture

    Complex fractures

    Extremely complex fractures

    > Complex fracture networks. The simple classi-cal description of a hydraulic fracture is a single,biwing, planar crack with the wellbore at thecenter of the two wings (top). In some formations,however, complex (middle) and very complex(bottom) hydraulic fractures may also develop, asappears to be the case in the naturally fracturedBarnett Shale.

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    Barnett Shale. Refracturing with large fluid

    volumes and lower volumes of proppant yielded

    well productivities that, in some cases, are the

    highest ever in these wells (right).

    It appears that reduction and eventual elimi-

    nation of solids in fracturing fluids generate better

    production results in tight-gas formations. Slick-

    water tre atments are currently the acc epted

    practice for completing new wells and refractur-

    ing existing completions in the Barnett Shale. The

    reasons for success of this method are not fully

    understood and are still under study. One possibil-

    ity may be that fracture facies do not heal, or

    close, completely once displaced or may be etched

    and eroded by large stimulation treatments.

    Advanced well logs from tools , such as the

    FMI Fullbore Formation MicroImager and DSI

    Dipole Shear Sonic Imager tools, used in con-

    ju nc ti on wi th stan da rd we ll -l og gi ng su it es

    provide more detailed formation evaluation and

    reservoir characterization. Stress profiles from

    sonic logs assist in design and implementation

    of multistage treatments to ensure completezonal stimulation coverage. The higher level of

    detail resulted in additional improvement in

    Barnett Shale completions, including more accu-

    rate perforation placement across intervals with

    identified open natural fractures.

    A Shallow-Gas Restimulation Program

    Enerplus Resources Fund realized an average

    sixfold increase in production from refracturing

    shallow-gas wells in the Medicine Hat and Milk

    River formations of southeastern Alberta,

    Canada. These results were obtained in a 15-well

    stimulation program during the second half of2002. Ten treatments were performed using the

    CoilFRAC stimulation through coiled tubing

    service. 20 The CoilFRAC technique utilized a

    straddle isolation tool that allowed individual

    perforated intervals to be selectively isolated

    and stimulated. Jointed pipe and a snubbing

    unit were used in place of coiled tubing (CT) on

    the other five wells. These CT-conveyed and

    snubbing-conveyed stimulations helped optimize

    fracture treatments and facilitated completion

    and stimulation of bypassed zones.

    Initially completed in the 1970s, vertical

    wells in the Medicine Hat and Milk River forma-tions produce from depths of 300 to 500 m [984

    to 1640 ft]. Producing intervals consist of layered

    sandstones with high shale content that fracture

    easily. These wells were originally fractured by

    pumping fluids and proppants down casing in a

    single-stage operation with ball sealers to divert

    the treatment across multiple sets of perfora-

    tions. To select restimulation candidates,

    engineers sought a relationship between initial-

    fracture effectiveness and current production.

    50 Oilfield Review

    1001990 1991 1992 1993 1994 1995 1996

    Year

    1997 1998 1999 2000 2001 2002 2003

    1000

    10,000

    Gasra

    te,

    Mcf/month

    100,000

    Typical Barnett Shalerestimulation results

    Refractured

    > Typical restimulation results for a Barnett Shale well. The use of substantial volumes of slick waterand low quantities of proppant sand to refracture the Barnett Shale resulted in well productivities asgood as or better than the original completion. In some cases, the well productivities after refracturingwere the highest ever recorded in this field.

    T20

    R14 R13W4

    R14 R13W4

    T19

    T18

    T20

    T19

    T18

    50.8

    137.3 310.4 483.5Cumulative gas, MMscf

    656.6 829.6

    223.9 397.4 570.0 743.1 916.2

    > Shallow-gas restimulation criteria. Because pressure-transient testing andanalysis were too expensive and not economically practical for this project,Enerplus Resources Fund chose production data as the best relative indicatorof gradual damage, connectivity and initial stimulation effectiveness. Cumula-

    tive gas production data were contoured and color-coded using gas-mappingsoftware. This allowed engineers to easily identify and select refracturingcandidates in areas with lower recovery factors (blue).

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    Autumn 2003 51

    These wells were completed initially within a

    two-year period, so cumulative production is

    normalized over 30 years. Analysis indicated

    that average production in the first three

    months after initial completion was directly

    proportional to the 30-year cumulative gas

    production. Furthermore, gas rates and stimula-

    tion effectiveness are related, so stimulation

    effectiveness is directly proportional to cumula-

    tive production.

    Completions with lower cumulative gas pro-

    duction than nearby wells were identified as

    candidates for refracturing (previous page, bot-

    tom). Other considerations included average

    production in the first three months after initial

    completion, productive interval lengths, vertical

    distance between perforated intervals and cur-

    rent production rate. Wells producing at

    currently economical rates of more than 25

    Mcf/D [716 m3/d] were eliminated as refractur-

    ing candidates.

    Intervals greater than 7 m [23 ft] were elimi-

    nated as CoilFRAC candidates. Snubbing-unitoperations allowed longer straddle-tool isolation

    lengths up to about 15 m [49 ft]. Additionally,

    because of the risk of fractures growing vertically

    into adjacent intervals, intervals closer together

    than about 10 m [33 ft] also were eliminated.

    The length of individually perforated zones

    fractured with coiled tubing varied from 0.9 m to

    6.1 m [3 to 20 ft] with four to seven zones

    treated in each well. Zones fractured using the

    snubbing technique varied from 3 m to 14 m [9.8

    to 45.9 ft] in perforated length. The number of

    zones treated ranged from two to four zones

    per well.Because of the age of these wellbores,

    precautions were taken to avoid potential

    mechanical failures. Surface casing vent flows

    were checked; any indication of gas migration to

    surface eliminated the well as a candidate. A

    casing scraper was run on all wells to clear the

    wellbore of restrict ions and to verify the mini-

    mum internal diameter.

    Intervals targeted for restimulation were

    reperforated to ensure injectivity and improve

    treatment effectiveness. Because of a lack of up-

    to-date logs, existing intervals were reperforated

    at the same depths and lengths as the initial

    perforations. Pretreatment well evaluations con-

    firmed interval lengths and sand quality from

    gamma ray logs. In four wells stimulated through

    coiled tubing, additional net-pay intervals were

    perforated based on existing logs.

    Cumulative production and current produc-

    ing rates proved effective in selecting

    restimulation candidates. Refracturing resulted

    in an average per-well production increase of

    about six times the prestimulation rate. Six of

    the 15 wells had higher average post-fracture

    rates than at the time of initial completion; four

    well s produced wi th in 25% of their or ig ina

    three-month completion rates in the 1970s

    This substantial level of productivity increase

    is even more impressive when viewed in the

    context of almost 30 years of production and

    more than 100 psi [689 kPa] of pressure deple

    tion (below).

    These results are consistent with documented

    evaluations of other CoilFRAC treatment

    performed in the area since 1997.21 Ave rage

    production from wells fractured through coiled

    tubing was slightly higher than treatment

    performed with a snubbing unit. This further

    confirms that fracturing many small intervals

    yields better production rates than fracturing a

    few larger intervals. In addition, coiled tubing

    conveyed fracturing costs about 10% less than

    snubbing-unit treatments.

    20. Degenhardt KF, Stevenson J, Gale B, Gonzalez D, Hall S,Marsh J and Zemlak W: Isolate and StimulateIndividual Pay Zones, Oilfield Review 13, no. 3(Autumn 2001): 6077.

    21. Lemp S, Zemlak W and McCollum R: An EconomicalShallow-Gas Fracturing Technique Utilizing a CoiledTubing Conduit, paper SPE 46031, presented at theSPE/ICoTA Coiled Tubing Roundtable, Houston, Texas,USA, April 1516, 1998.

    Zemlak W, Lemp S and McCollum R: SelectiveHydraulic Fracturing of Multiple Perforated Intervalswith a Coiled Tubing Conduit: A Case History of theUnique Process, Economic Impact and RelatedProduction Improvements, paper SPE 54474, presentedat the SPE/ICoTA Coiled Tubing Roundtable, Houston,Texas, USA, May 2526. 1999.

    Marsh J, Zemlak WM and Pipchuk P: EconomicFracturing of Bypassed Pay: A Direct Comparison ofConventional and Coiled Tubing Placement Techniques,paper SPE 60313, presented at the SPE Rocky MountainRegional/Low Permeability Reservoirs Symposium,Denver, Colorado, USA, March 1215, 2000.

    140

    120

    100

    Well life

    335 psi

    450 psi

    335 psi

    Averageproductionrate,

    Mcf/D

    80

    60

    40

    20

    0

    140

    120

    100

    Well life

    Pressure depletion over 30 years

    335 psi

    335 psi

    450 psi

    Averageproductionrate,

    Mcf/D

    Production,

    MMscf/D

    13 newwells

    6 new wells Coiled tubing cleanoutof new wells

    Two out of fivesnubbing-unitrefractured wellson-line

    Last well to be CTfractured (only 10 of

    15 wells have beenfractured at this pointand all through CT)

    Gas compressorshutdown

    80

    60

    40

    20

    0

    5.0

    4.5

    4.0

    3.5

    3.0

    2.5

    2.0

    1.5

    1.0

    0.5

    0.02001 2002

    Average production rate for CoilFRAC restimulations

    Field production

    Average production rate for snubbing-unit restimulations

    Pressure depletion over 30 years

    Initial Before refracturing After refracturing

    > Shallow-gas restimulation results. Refracturing shallow wells in the gas-bearing Medicine Hat andMilk River formations resulted in significant production increases, even after the wells had producedfor more than 30 years. Enerplus Resources Fund used both coiled tubing and snubbing-unit tubing-conveyed stimulation techniques.

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    Short Shut-In Time Well-Test Analysis

    Determining how a well should respond to

    refracturing requires knowledge about the origi-

    nal fracturing treatment and the current state of

    well stimulationfracture length and conduc-

    tivity. Another objective of the 1998 GTI

    restimulation project was to develop a well-

    testing method to verify restimulation potential

    in tight-gas wells.

    In low-permeability reservoirs, long shut-in

    timessometimes several days, weeks or even

    monthsare required to obtain a unique reser-

    vo ir an d fr ac tu re ch ar ac te ri za ti on fr om a

    pressure-transient well-test analysis, typically a

    pressure-buildup test. Consequently, many

    operators find the high costs of performing these

    tests and associated production downtime unac-

    ceptable. However, if the objective is only to

    verify that a well requires stimulation, a unique

    well-test solution may not be needed.

    Schlumberger developed the short shut-in

    time interpretation (SSTI) method to obtain

    interpretable well-test data in low-permeabilitygas wells.22 This new technique, applicable in

    new or depleted reservoirs, uses early-time pres-

    sure-transient data to estimate probable ranges

    of reservoir permeability and fracture length.

    The SSTI method is especially effective in low-

    permeability formations, tight-gas reservoirs and

    in wells with large wellbore-storage volumes.

    This approach is not a quantitative determi-

    nation of reservoir properties and stimulation

    effectiveness, but it is not entirely qualitative

    either. The SSTI method defines lower and

    upper values for both reservoir permeability

    and fracture length at critical points during awell test. By providing a range of results rather

    than multiple sets of nonunique solutions, this

    quick and simple determination reduces

    uncertainty and nonuniqueness compared with

    conventional interpretations.

    Reasonably good estimates of reservoir

    properties are usually obtained in as little as a

    few hours, and generally fewer than three days.

    This significantly reduces well-test cost, in

    terms of equipment, services and delayed

    production. Identifying radial or linear flow into

    a well gives a good indication of whether the

    current propped fracture is effective or ineffec-tive. The SSTI approach suffers from limitations

    in multilayered reservoirs, but engineers can

    often use these results to determine if a well

    should be restimulated.

    The GTI project included a well-testing

    program in the Frontier formation of the

    North Labarge Unit in Sublette and Lincoln

    Counties, Wyoming, USA, to validate restimula-

    tion candidates selected by the three GTI

    methodsproduction statistics, pattern recog-

    nition and type curves. The SSTI method was

    applied to determine initial hydraulic fracturing

    treatment effectiveness in wells at this test site.

    Successful application in several Frontier area

    gas wells demonstrated the potential of the SSTI

    method, but data quality and acquisition

    difficulties hampered complete analysis of the

    well-test data.

    Interpretations using the SSTI method

    require high-quality, precise data. Downhole

    measurements with precise electronic gaugesand frequent data sampling help capture the

    required level of detail. Downhole shut-in

    devices reduce wellbore storage effects and

    accelerate the onset of linear flow. Using test

    times that fall between the start and end of

    linear flow, the SSTI method is also applicable in

    conventional well tests.

    Production-Enhancement Evaluation

    Kerr-McGee Corporation and Schlumberger

    began working collaboratively to enhance

    production from mature, or brownfield, South

    Texas gas properties in March 2002. These

    efforts are the result of a comprehensive reser-

    voir evaluation performed by Schlumberger to

    develop a better understanding of completion

    and production trends in the Vicksburg basin.

    Initiated in the fall of 2001, this proactive study

    concentrated on areas where application of new

    technologies and techniques would have themost impact and, in turn, help operators

    produce gas more economically.

    The objective was to understand how geologi-

    cal, petrophysical and well-completion practices

    impact well performance. This Vicksburg study

    identified underperforming wells and specific

    technologies, such as advanced formation-

    evaluation tools, improved well-completion

    52 Oilfield Review

    22. Bastian P: Short Shut-in Well Test Analysis forVerifying Restimulation Potential, presented at theGRI/Restimulation Workshop, Denver, Colorado, USA,March 15, 1999.

    Huang H, Bastian PA and Hopkins CW: A New ShortShut-In Time Testing Method for Determining StimulationEffectiveness in Low Permeability Gas Reservoirs,Topical Report, Contract No. 5097-210-4090, GasResearch Institute, Chicago, Illinois, USA(November 2000).

    23. Bradley HB: Petroleum Engineering Handbook.Richardson, Texas, USA: Society of Petroleum Engineers(1992): 55-155-12.

    Economides MJ and Nolte KG: Reservoir Stimulation,Third Edition, West Sussex, England: John Wiley & SonsLtd. (2000): 5-15-28.

    Duda JR, Boyer II CM, Delozier D, Merriam GR,Frantz Jr JH and Zuber MD: Hydraulic Fracturing: TheForgotten Key to Natural Gas Supply, paper SPE 75712,presented at the SPE Gas Technology Symposium,

    Calgary, Alberta, Canada, April 30May 2, 2002.24. Pospisil et al, reference 3.

    Olson, reference 3.

    Wright and Conant, reference 11.

    Marquardt MB, van Batenburg D and Belhaouas R:Production Gains from Re-Fracturing Treatments inHassi Messaoud, Algeria, paper SPE 65186, presentedat the SPE European Petroleum Conference, Paris,France, October 2425, 2000.

    25. Oberwinkler C and Economides MJ: The DefinitiveIdentification of Candidate Wells for Refracturing,paper SPE 84211, presented at the SPE Annual TechnicalConference and Exhibition, Denver, Colorado, USA,October 58, 2003.

    100,000

    10,000

    10-96 -84 -72 -60 -48 -36 -24

    Normalized time, months

    -12 0 12 24 36 48 60

    100

    1000

    Totalaverage

    gasrate,

    Mcf/D

    12 wells refractured at time 0

    Average during the first month for all12 wells: 6.6 MMcf/D after refracturing

    Projected declineafter refracturing

    Projected decline had thewells not been refractured

    Rate for all 12 wells: 1.5MMcf/D before refracturing

    > Kerr-McGee South Texas refracturing results.

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    practices and restimulation techniques, whic


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