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Working Committee Review
16 February 2010
Research Partnership to Secure Energy for AmericaSub-Contract # 07121-1701
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Outline
Executive Summary
Progress during December 2009 and January 2010
Budget status
Quick review of trapped oil mechanisms and IOR process list
Sent via email 9-December-2009 IOR process analysis
Water injection
Workflow to determine number of applications
Gas injection
Pumping & Artificial lift
Technology transfer
Forward work plan
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Progress Report
December 7, 2009 TAC and Working Committee meetings
Revisions to IOR process evaluation plan agreed 10th December
Little work done last 2 weeks December and 1st week January
Detailed evaluation of Gulf of Mexico water injection performance
Assist preparation of Pennwell DOT conference presentation
Write and submit OTC #20678 titled Can IOR in Deepwater Gulf of MexicoSecure Energy for America
Further research from Houston group on raw seawater injection
Determined workflow for IOR evaluation by process Fine tune database and lock down field/reservoir OOIP and forecasts
Tune Eclipse sector model to match performance of highly compacting reservoir produced bydepletion for use in modeling some IOR processes
Determination of number of applications
Finished water injection IOR except for economics; commenced gasinjection analysis
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Budget Status
$-
$200,000
$400,000
$600,000
$800,000
$1,000,000
$1,200,000
$1,400,000
$1,600,000
1 2 3 4 5 6 7 8 9 10 11 12 13
Cumu
lativeSpend
Months Worked
RPSEA 07121 - 1701: Deepwater IOR
Actual Spend vs. Baseline BudgetBudget Actual Spend
Note: January 2010 is a
preliminary estimated cost
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Overview of Trapped Oil Mechanismsand IOR Process Selection
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Total EUR , 31.6%
Non-Connected to
Wells, 15.0%
High Abandonment
Pressure, 2.7%
Communicating
Capillary Bound ,
19.8%
No DisplacementDrive Energy, 17.6%
Poor Sweep Efficiency,
13.3%
Produced and Trapped Oil Mechanisms as Percentage of OOIP
Deepwater Gulf of Mexico, Neogene Age Reservoirs
Total EURNon-Connected to Wells
High Abandonment Pressure
Communicating Capillary Bound
No Displacement Drive Energy
Poor Sweep Efficiency
see discussion on the calculation of
trapped oil volumes on next 2 slides
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Trapped Oil Mechanisms Backgound
EUR (expected ultimate oil recovery) 31.6% Using ReservoirKB and MMS databases, determine OOIP, EUR, and average oil recovery
factor of 31.6% from 78 oil fields
Non-Connected to Wells 15%
Used a subset of 13 Neogene age fields
Assume significant faults are sealing, and blocks without a well penetration are consideredNon-Connected OOIP
The 13 fields contained 94 fault blocks of which 41 fault blocks were un-penetrated
Estimate OOIP in Non-Connected fault blocks by Area only, not net rock volume (NRV)
Result: 45% of fault blocks undrilled but represents only 15% of OOIP
High Abandonment Pressure 2.7%
Assume abandonment pressure can be lowered by 1600 psi
Estimate total compressibility, Ct = 20 E-6 psi-1
Calculate incremental production Np/N = Ct x Delta Pressure = 3.2%
Apply to Connected OOIP, thus 3.2% x 0.85 = 2.7%
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Trapped Oil Mechanisms Backgound(continued)
Communicating Capillary Bound 19.8% Estimate average Swi = 20% and Sor = 20%
Capillary Bound = (1-Swi-Sor)/(1-Swi) = 25% of OOIP
Apply to Connected OOIP, thus 25% x 0.85 = 21.3%
Reduce by amount of Bound Oil expansion and production from Pi to Pabandonment usingtypical black oil with GOR=800 scf/stb, and Oil FVF change from 12500 5000 psi
[Boi = 1.305 and Bo at 5000 psi = 1.392, thus expansion = 6.7% Recovery of Connected and Bound Oil by expansion = 21.3% x 0.067 = 1.4%
Reduced connected capillary bound oil to 21.3% - 1.4% = 19.8%
No Displacement Drive Energy 17.6%
Produced plot of cumulate OOIP vs produced cumulative water/oil ratio for 49 mature oilfields to determine how much water displacement is occurring. Select cut-off of cumulativeproduced WOR < 0.1 to determine OOIP with no aquifer drive energy (see next slide)
Estimate 57% of OOIP has limited aquifer drive energy
Assume remaining 43% of remaining Connected and Moveable oil is left behind due topoor sweep efficiency
Calculate as (1 31.6% - 15% - 2.7% - 19.8%) * 0.57 = 17.6%
Poor Sweep Efficiency 13.3%
Calculate as (1 31.6% - 15% - 2.7% - 19.8%) * 0.43 = 13.3%
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0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 1.1 1.2
Pe
rcentCumu
lativeRemain
ingOilIn-P
lace
Cumulative Water/Oil Ratio as of April 2008
Cumulative Original Oil In-Place vs Cumulative Water/Oil Ratio
from 49 Deepwater Gulf of Mexico Oil Fields
MinimalAquiferInflux
Natural Drive EnergyFrom Aquifer Influx
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Revised IOR Process List
Water Injection
Conventional waterflooding
Raw seawater injection in subsea wells Dump flooding
Water-based EOR
Microbial EOR
ASP
Surfactant and contact angle modifiers
Gas Injection
Hydrocarbon gas injection Hydrocarbon gas dump flooding
Gas-based EOR
Air injection
CO2 injection
Nitrogen injection
Pumping and Artificial Lift
Subsea multi-phase pumping In-well ESP
In-well gas lift
Subsea processing
Well Technology
Low cost wells
Low cost intervention
Horizontal and Multi-lateral wells
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IOR Processes - Evaluation Plan
Process
NumberIOR Category IOR Process Target Trapped Oil Mechanisms Low High
Field
Count
Target
OOIP
(MMSTB)
Low Case
(MMSTB)
High Case
(MMSTB)
Low Case
($/BBL)
High Case
($/BBL)
Technical
Readiness
Factor
Risk
Factor
Process
Ranking
1 Water Inje ction Conventional Water Inje ction Drive Ene rgy, Swee p Efficiency
2 Raw Seawater Injection Drive Energy, Sweep Efficiency
3 Aquifer Dump Flooding Injection Drive Energy, Sweep Efficiency
4 Water-Based EOR Microbial EOR Capillary Bound
5 Alkaline Surfactant Polymer (ASP) Capillary Bound; Sweep Efficiency
6 Chemical Augmented Waterflooding Capillary Bound
7 Gas Injection Hydrocarbon Gas Injection Drive Energy, Sweep Efficiency
8 Hydrocarbon Gas Dump Flooding Drive Energy, Sweep Efficiency
9 Gas-Based EOR Nitrogen Injection Drive Energy, Capillary Bound
10 CO2 Injection Capillary Bound
11 Air Injection Capillary Bound, Drive Energy
12 Pumping & Art if ic ial L if t Subsea Mult i-Phase Pumping High Abandonment Pressure
13 In-Well ESP Abandonment Pressure, Sweep Efficiency
14 In-Well Gas Lift Abandonment Pressure, Sweep Efficiency
15 Subsea Processing High Abandonment Pressure
16 Well Technology Low Cost Wells Non-Connected Volume
17 Low Cost Well Intervention Abandonment Pressure, Sweep Efficiency
18 Horizontal / Multi-Lateral Wells Non-Connected Volume, Sweep Efficiency
Technical IOR RF Indicative EconomicsTarget Potential BarrelsApplications
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IOR Process AnalysisWater Injection
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Waterflood evaluation workflow
Review from GoM experience
Determine incremental IOR
Estimate depletion recovery for fields with waterflood from startup
Use simulation to assist in the forecast of IOR for the new
waterfloods (post primary) Document issues and technical gaps for GoM waterflood
Review raw seawater and dump flooding experience to determine ascaled reduction off conventional waterflooding
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GoM water injection experience
1. Petronius Field, J1 and J2 reservoirs2. Mars Field, N-O Sd (Yellow), M1/M1 Sd (Green), E Sd (Pink)
3. Horn Mountain, M Sand
4. Holstein, J2 and J3 reservoirs
5. Ram-Powell, N Sand (minimum injected)
6. Ursa Field, Yellow Sand
7. Princess Field (Ursa satellite), Yellow Sand
8. Morpeth Field (EW921), M-2/P Sand(SPE paper says project shut-down after poor early sweep results)
9. Amberjack Field, G sand10. Bullwinkle (was halted after early response)
11. Lena Field
12. Pompano, M83C-85 Sand (short injection history)
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Overview of Petronius Field
First Production 2000
VK 786; Facility compliant tower
Middle Miocene, sheet sand
Water injection in 2 primary reservoirs, J1 and J2,commences 7 months after start of production
Normal pressure, slightly under-saturated, gas cap in J1zone, and modest rock compaction
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Petronius Field, J2 Sand Performance
1000
10000
100000
Jul-00
Jul-01
Jul-02
Jul-03
Jul-04
Jul-05
Jul-06
Jul-07
Jul-08
Jul-09
OilRateandWaterInjection
Rate(BBL/day)
1%
10%
100%
WaterCut
Oil Rate Injection Rate Water Cut
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Petronius performance summary
Mature waterflood and goodconfidence in prediction ofultimate recovery
Estimate depletion recoveryusing material balance
Assume Cr = 15 microsips dueto 0.5 psi/ft low initial pressuregradient
High incremental recoveries
for water injection No reported issues with wells,
completions, scaling, souring,or other production problems
ZoneOOIP
(MMSTB)
Waterflood
RF
Depletion
RF
(MBAL)
IOR
J1 109 57% 20% 37%
J2 80 54% 27% 27%
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Overview of Mars Field
First Production 1996
MC 807, Facility 24-slot TLP Upper Miocene and Pliocene reservoirs
Water injection commence 2004 in 3 reservoirs
N/O (Yellow) Sand
M1/M2 (Upper Green) Sand
E (Pink) Sand
Over-pressured, highly compacting, no aquifer influx, and
water injection installed after primary production
Meckel, etal2002 GCSSEPM Conf.
Reynolds2000 GCSSEPM Conf.
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1%
10%
100%
1000
10000
100000
Jan-96
Jan-97
Jan-98
Jan-99
Jan-00
Jan-01
Jan-02
Jan-03
Jan-04
Jan-05
Jan-06
Jan-07
Jan-08
Jan-09
Jan-10
WaterCut
O
ilRateandWaterInjectio
nRate(BBL/day)
Mars Field, N-O (Yellow) Sand Performance
Oil Rate Injection Rate Water Cut
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Mars, N-O Sand
Weiland, et alSPE 115591
Production / ObservationN Producer
N / O Injector
OOIP = 573 MMSTB
5 producers (current)
1 injector
Depletion 4500 psiVoidage ~ 45 kbpd
Injection ~ 22 kbpd
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Mars performance summary
New waterflood and not possible topredict performance RF
Primary depletion RF from establisheddecline analysis
Simulation sector model used to
estimate waterflood IOR (first matcheddepletion RF)
High potential incremental oil RF
Many challenges on injector integrity:
2 of 3 injectors with compromisedmechanical integrity
Sand control issues with fracture rateinjection; sand fill affecting verticalconformance
Tubing leak related to O2 corrosion
Out of zone injection observed
ZoneOOIP
(MMSTB)
Waterflood
RF
(Eclipse)
Primary
RF
(decline)
IOR
N/O 573 56% 37% 19%
M1/M2 341 56% 31% 25%
E 225 56% 35% 21%
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Overview of Horn Mt. Field
First Production 2002
MC 127; Facility Spar Middle Miocene
Primary development and injection in M Sand
Normal pressure (0.52 psi/ft), moderately under-saturated,and modest rock compaction
Sand-filled channels and associated levees and overbanks
Milkov, et al
AAPG Bulletin
MC127#1ST1
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Horn Mt. Field, M Sand Performance
1000
10000
100000
Nov-02
Nov-03
Nov-04
Nov-05
Nov-06
Nov-07
Nov-08
OilR
ateandWaterInjection
Rate(BBL/day)
1%
10%
100%
WaterCut
Oil Rate Injection Rate Water Cut
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Horn Mountain performance summary
Mature waterflood with good confidence in
performance prediction 4 producers in west with good response to
water injection
3 producers without good support (and nooffset injector) in east
Infer channel-levee environment requires
2:1 prod/inj ratio
ZoneOOIP
(MMSTB)
Waterflood
RF
Depletion
RF
(MBAL)
IOR
M 280 40% 20% 20%
Milkov, et alAAPG Bulletin
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0%
10%
20%
30%
40%
50%
60%
0.0 0.1 0.2 0.3 0.4 0.5 0.6
Injected Water, PV
RecoveryFactor(%)
Mars N-O sandPetronius J1 sand
Petronius J2 sandHorn Mt. M sandRam-Powell N sandMars E SandMars M1-M2 SandHolstain J2 SandHolstain J3 Sand
Petronius, J1
Petronius, J2
Holstein J3
Holstein, J2
Horn Mt M
Mars, N/O,
M1/M2, E
Oil RF versus pore volume water injected
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Simulation forecasting tool
Eclipse simulation sector model used to forecast incremental recovery
Grid blocks: I=26, J=26, K=58 Several facies and property models available
Upper Miocene, high NTG, high permeability, highly compacting rock (Mars Field example)
Paleogene stratigraphy based on Jack Field discovery well (digitized)
Simple screening tool using typical DW GoM properties
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Simulation forecast of DW GoM secondarywaterflood after primary production in highlycompacting reservoir
RF= 56%
RF= 51%
RF= 39%
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Summary IOR for DW GoM waterflooding
Notes:
1. Based on decline analysis prior to start of injection.
2. No performance indication of waterflood RF; use simulation
model to determine waterflood RF as function of VIRR.
Field Reservoir OOIP
Cum Oil
@Sep, 2009
(mmstb)
Recovery
Factor@
Sep,2009
Estimated
depletion
RF by
MBAL
Performance
Based Oil
EUR (mmstb)
Performance
Based RF
Waterflood
IOR
N 573 170 30% 37%1
321 56%2
19%
M1/M2 341 86 25% 31%1
191 56%2
25%
E 225 50 22% 35%1
126 56%2
21%
J1 109 59 54% 20% 62 57% 37%
J2 80 42 52% 27% 43 54% 27%
Horn Mt. M 280 81 29% 20% 112 40% 20%
J2 138 23 17% 15% 40.5 29% 14%
J3 84 11 14% 15% 16 19% 4%
Petronius
Holstein
Mars
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Observations Water Injection
IOR potential for waterflooding is 4 20% of OOIP The only deepwater GoM successes are with dry tree installations
Also, successes are primarily in reservoirs not highly over-pressured Exception is Lobster Field, EW 873 (taken off deepwater list since water depth is
775 ft) where initial pressure gradient was 0.68 psi/ft dry tree facility withinjection from near the start of production
Issues to overcome for late life injection in over-pressured, highlycompacting reservoirs: Pressure differentials between stratigraphic units
Completion failures, particularly sand control
Casing integrity and out of zone communication
Successful operation of subsea injector in Morpeth for 5 months Downhole filtration system to stop solids loading from corrosion products
Sustained good injectivity index ~ 25 bwpd/psi for 135 days
Injection stopped due to reservoir reasons (rapid water BT in offset well)
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Raw Seawater Injection
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Overview of raw seawater injection
Applications: Subsea developments with distance from remote host
Developments with facilities space and weight limitations
Extended reach drilling issues from existing platform
Smaller fields/reserves with marginal economics
Potential application for DW GoM: K2, Genesis, Blind Faith, Medusa, Brutus, Front Runner, Llano, Europa, etc.
State of Play for industry use of raw seawater injection: Installations (or near implementation) at Tyrihans (Statoil, Norway), Columba
(CNR, UKCS), Barton (Shell, Malaysia), and Albacora (Petrobras, Brazil)
Leveraging North Sea research and Joint Industry Projects such as RawwaterEngineering and PWRI
Ongoing development of modeling software for nitrate inhibition, scaling andsouring predictions
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Tyrihans Field, Norway
Installation in 2009 Two accumulations of gas condensate and oil rims connected by
common aquifer
Not expected to produce injected raw water
Subsea development with distance of 22 miles from host platform
Projected benefits: Original Liquid In-Place = 435 MMSTB, IOR for water injection = 4.4% of in-place
Gynning, et al, OTC 20078 (2009)
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Columba Field, UK northern North Sea
Wet test in 2006, installation dateuncertain
Columba field is extension off southend of Ninian field
Primary production from Phases I andII commenced in 1998
Space and weight limitations on NinianSouth platform, 7 km distance
Injection to support 4 producers with80 MMSTB connected OOIP
Leveraging on Joint Industry Project,
UK/Norway, Rawwater, 1993 1998 Economics: Considered in a
Greenfield context, the conventionalpipeline based subsea system was themore economic solution out to a stepout distance of 8 km
Rogerson and Laing, SPE 109090 (2007)
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Barton Field, Malaysia
Reported plan in 2004, installation dateuncertain
Small field with marginal economics;requires new water injection platform orlow cost system (raw seawater)
Reservoir pressure drop from 1058 psi to550 psi over 20 years
IOR potential 6% of OOIP
Leveraging Shell participation in NorthSea initiatives
CAPSIS
PWRI
Engineered Issues List: Filtration or injection of suspended solids
O2 corrosion (GRE and high grade CRA) Reservoir souring (nitrate and biocide additives)
Scaling (CaCO3 and BaSO4)
Combination microbial EOR effect
Use naturally occurring bacteria whichfeed on carbon and the nutrients providedby Nitrate, O2 and Phosphates
Flatval, et al, SPE 88568 (2004)
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Dump Flood Water Injection
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SummaryLow cost water injection options
Raw seawater injection and dump aquifer flooding are being used inother offshore basins for low cost water injection options
Applications for DW GoM are subsea tie-backs, marginal sizereservoirs, and facilities with space and weight limitations
IOR RF = 4% for low case (same as for conventional waterflooding) IOR RF = 14% for high case Downgrade convention high case IOR by 30% due to reduced ability for reservoir
management
Projected cost savings from Rawwater JIP (1998) is 40 60% overcost of conventional waterflooding This figure may be out of date and not applicable to deepwater GoM
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Workflow to determine the number ofapplications for an IOR process
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IOR Process Neogene Evaluation
Process
NumberIOR Category IOR Process Target Trapped Oil Mechanisms Low High
Field
Count
TargetOOIP
(MMSTB)
Low Case
(MMSTB)
High Case
(MMSTB)
Low Case
($/BBL)
High Case
($/BBL)
1 Water Injection Conventional Water Injection Drive Energy, Sweep Efficiency 4.0% 20.0% 26 16,567 663 3,313
2 Raw Seawater Injection Drive Energy, Sweep Efficiency 4.0% 14.0% 27 7,337 293 1,027
3 Aquifer Dump Flooding Injection Drive Energy, Sweep Efficiency 4.0% 14.0% 27 7,337 293 1,027
4 Water-Based EOR Microbial EOR Capillary Bound
5 Alkaline Surfactant Polymer (ASP) Capillary Bound; Sweep Efficiency
6 Chemical Augmented Waterflooding Capillary Bound
7 Gas Injection Hydrocarbon Gas Injection Drive Energy, Sweep Efficiency
8 Hydrocarbon Gas Dump Flooding Drive Energy, Sweep Efficiency
9 Gas-Based EOR Nitrogen Injection Drive Energy, Capillary Bound
10 CO2 Injection Capillary Bound
11 Air Injection Capillary Bound, Drive Energy
12 Pumping & Art if icial Li ft Subsea Mult i-Phase Pumping High Abandonment Pressure
13 In-Well ESP Abandonment Pressure, Sweep Efficiency
14 In-Well Gas Lift Abandonment Pressure, Sweep Efficiency
15 Subsea Processing High Abandonment Pressure
16 Well Technology Low Cost Wells Non-Connected Volume
17 Low Cost Well Intervention Abandonment Pressure, Sweep Efficiency
18 Horizontal / Multi-Lateral Wells Non-Connected Volume, Sweep Efficiency
Notes:
1. Conventional water injection IOR range from detailed review of Gulf of Mexico deepwater projects; Use low side and 70% of high side conventional IOR for Raw Seawater and Dump Waterflooding
Technical IOR RF Indicative EconomicsTarget Potential BarrelsApplications
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Number of applications water injectionAssumptions
Injection in significant reservoirs with OOIP > 10 MMSTB
If dry tree facility, then conventional water injection; can also consider rawseawater and dump flooding
If forecast oil RF > 45%, no injection required
If subsea development and remote distance from host, assume raw seawater
injection and dump flooding If subsea and total field OOIP < 50 MMSTB, no injection
Other Assumptions:
Count of applications is the number of fields
Sum OOIP from significant reservoirs where field is applicable
Target total OOIP is scaled up by ratio 31BSTB / Database OOIP
Scaling factor of OOIP = 31 / 25.3 = 1.226
Note: scaling for discovered Neogene under appraisal / development
N b f li ti t i j ti
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Number of applications water injectionSample from database
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IOR Process Analysis
Gas Injection
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IOR for hydrocarbon gas injectionEvaluation method options
Analytical models: e.g. SelectEOR, which predicts oil recoveryfor waterflooding, chemical and gas injection processes based onanalytical calculations
Correlative methods: similar to Haskin & Alstons* method for
estimating CO2 huff n puff recovery based on 28 field tests; Reservoir simulation
Values based on analog fields in the North Slope and North Sea
* Haskin, H.K., and Alston, R.B., An Evaluation of CO2 Huff n Puff Tests in Texas, Journal of Petroleum
Technology, February 1989.
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Current status and plan
Use SelectEOR (LSU) to evaluate a sample set of DW GoMreservoirs for hydrocarbon gas injection (e.g. K2 Field)
Evaluate Eclipse sector model for scoping IOR values
Summarize IOR values report for North Sea and North Slope
Summarize technical issues observed in fields where gas injectionwas implemented
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IOR Process Analysis
Pumping and Artificial Lift
O i f i d
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Overview of pumping andartificial lift methods
Applications: Lower abandonment pressure in depletion drive reservoirs
Produce wells to high water cuts
Longer subsea oil development tie-backs
Potential application for DW GoM:
Subsea developments where abandonment maximum water cuts tend to be lessthan 60%
Low GOR fluids
Recommended analysis plan: Assume 3% IOR as determined during screening phase
Summarize a capture of information on current state of technology and
application
Riser based gas lift (e.g. Girassol)
Riser based centrifugal pump (e.g. Perdido Hub)
Petrobras gas lift of subsea wet trees
Subsea ESP (e.g. Albacora Leste single well, and Cascade manifold)
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Technology Transfer
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Pennwell DOT presentationby Art Schroeder, 2nd February
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OTC #20678 for presentation atMay 2010 conference by Joe Lach
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SPE #132633 poster at May 2010Western Regional meeting by Xin Li
Title: Investigation of Trapped Oil Mechanisms and Opportunitiesfor Improved Oil Recovery in Deepwater Gulf of Mexico
Abstract: Deepwater Gulf of Mexico oil fields (DW GoM) typically get modest Ultimate Recovery Factors in the10% - 35% range, because reservoirs tend to be small, deep, and complex. The Remaining Oil target for Improved OilRecovery (IOR) is tempting large, with about 40 Billion Bbl estimated to be left in discovered fields at abandonment.
Procedures on by-passed oil mechanisms analysis are based on analysis of field data compiled by Minerals ManagementService, on data extracted from focused literature reviews, and on original work to analysis by-passed oil mechanisms anddescribe the remaining oil distribution in turbidite reservoirs of DW GoM.
This paper describes a study on oil trapped mechanism, by-passed oil categories and their distributions. It is key part ofstudy directed at recommending a select group of IOR processes for multi-million dollar Research & Development fundingby Research Partnership to Secure Energy for America (RPSEA).
The DW GoM oil fields have been catalogued and characterized by geological setting and reservoir engineering. (1) By-
passed oil depends on structure settings and depositional system. The trapped oil mechanism was reviewed in the contextof eight defined geologic classification types for structural setting and depositional environment. (2) Detailed examinationof reservoir performance and simulation studies has been conducted for a number of GoM fields and reservoirs. In thisstudy, case study with actual field data for Neogene age Tertiary reservoirs is included, and followed by conclusions.
Authors established static and dynamic model referring MMS database to quantify by-passed oil. This work defines thesignificance of bypassing mechanisms so that appropriate IOR methods can be selected in DW GoM.
8/9/2019 07121-1701_KR Presentations_Working Committee_16 Feb 2010
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Forward Plan
8/9/2019 07121-1701_KR Presentations_Working Committee_16 Feb 2010
52/52
Forward work plan
Complete assessment of Neogene IOR potential and number ofapplications for all processes by March 15th
Commence economic assessment ($/IOR BBL) of Neogene IOR, byprocess, March 15th
Attend Det Norske seminar on Technical Readiness 26-Feb
Revise IOR evaluation plan for Paleogene reservoirs and beginassessment start 1st April