Post on 04-Apr-2018
transcript
Parametric SCAL modeling
Frode Lomeland
Leading Advisor Reservoir Flow Parameters
Statoil
Stavanger 14 November 2013
Classification: Internal 2013-08-21
Outline
• Introduction
• Workflow
• Trend functions and analysis
• Local trend curves and saturation regions (bins)
• Extension of SCAL model to include Hamon’s theory
• Quality control and deliveries
• Short summary of benefits of parametric SCAL modeling
2
SCAL contributions to IOR / EOR 1 • Special core analysis (SCAL) is a study of multi-phase fluid flow in rock
• Traditionally SCAL studies
− involves laboratory experiments, and
− deliver a model for reservoir flow parameters (RFP or SCAL model) that is
− used in the reservoir simulator
• Most IOR / EOR methods try to
− produce remaining oil left behind injection front by the original drainage plan
− produce oil that is not swept by the original drainage plan
• A high quality SCAL model is therefore recommended
3
SCAL contributions to IOR / EOR 2
• A high quality SCAL model means
− more correct reference when evaluating other injection fluids as EOR
− more correct reservoir flow parameter model which means
• more correct reservoir simulation model which means
− better prediction of remaining oil production for existing drainage plan
− better understanding and prediction of remaining targets for in-fill
drilling
• One way of preparing high quality SCAL models is to use
− parametric SCAL modeling
4
Short on parametric SCAL modeling
:
• Parameterize SCAL properties, relative permeability and capillary pressure,
based on formulas that can be used for all scales - from the small pore
scale or core plug scale and up to the large scale of grid cells in full field
models.
:
• Relative permeability and capillary pressure are represented parametrically
by the LET family of formulas (LET is a reference to the three authors in the
first paper on these formulas). Interpreted laboratory results are stored in a
parametric SCAL database.
• Trend analysis of SCAL parameters are significantly improved, and
consistent SCAL models with uncertainty are generated.
• Both up-scaling of SCAL data and history matching of multiphase flow are
improved and facilitated by using the parametric LET representation (not
discussed in this presentation).
SCA 2005-32 Lomeland, Ebeltoft and Thomas
Work flow for SCAL modeling
Caesar parameters & scalars
Cleopatra (Kr, Sr) Kr curves, scalars, exp data
Sendra (Kr, Sr, Pc) Numeric interpretation of exp
Hadrian scalar & curve generator
Eclipse & Stars
Servilia (Pc) Pc curves, scalars, exp data
Laboratory data Eclipse e-Core
Work flow for SCAL modeling
Caesar parameters & scalars
Cleopatra (Kr, Sr) Kr curves, scalars, exp data
Sendra (Kr, Sr, Pc) Numeric interpretation of exp
Hadrian scalar & curve generator
Eclipse & Stars
Servilia (Pc) Pc curves, scalars, exp data
Laboratory data Eclipse e-Core
Work flow for SCAL modeling
Caesar parameters & scalars
Cleopatra (Kr, Sr) Kr curves, scalars, exp data
Sendra (Kr, Sr, Pc) Numeric interpretation of exp
Hadrian scalar & curve generator
Eclipse & Stars
Servilia (Pc) Pc curves, scalars, exp data
Laboratory data Eclipse e-Core
Work flow for SCAL modelling
Caesar parameters & scalars
Cleopatra (Kr, Sr) Kr curves, scalars, exp data
Sendra (Kr, Sr, Pc) Numeric interpretation of exp
Hadrian scalar & curve generator
Eclipse & Stars
Servilia (Pc) Pc curves, scalars, exp data
Laboratory data Eclipse e-Core
Work flow for SCAL modeling
Caesar parameters & scalars
Cleopatra (Kr, Sr) Kr curves, scalars, exp data
Sendra (Kr, Sr, Pc) Numeric interpretation of exp
Hadrian scalar & curve generator
Eclipse & Stars
Servilia (Pc) Pc curves, scalars, exp data
Laboratory data Eclipse e-Core
PAI selection Filter to field / litho-stratigraphic formation or group
Kabs vs Swir Porosity vs Swir
PAI - Porosity, Absolute permeability, Irreducible water saturation
• Increasing Swir in saturation end-point scaling gives an increased curvature of Krow
− This is opposite of what flow parameters from SCAL experiments show
• Increasing Swir in trend analysis shows a smaller L-parameter for Krow
− I.e. a more water wet system with less curvature
Trend analysis promotes more saturation regions
Curve shape parameters, end-point
saturations and end-point relative
permeability values are flow parameters Flow parameters vs. Swir
Residual saturation vs. Swir
• Increasing Swir in saturation end-point scaling gives an increased curvature of Krow
− This is opposite of what flow parameters from SCAL experiments show
• Increasing Swir in trend analysis shows a smaller L-parameter for Krow
− I.e. a more water wet system with less curvature
Trend analysis promotes more saturation regions
Curve shape parameters, end-point
saturations and end-point relative
permeability values are flow parameters
• Increasing Swir in saturation end-point scaling gives an increased curvature of Krow
− This is opposite of what flow parameters from SCAL experiments show
• Increasing Swir in trend analysis shows a smaller L-parameter for Krow
− I.e. a more water wet system with less curvature
Trend analysis promotes more saturation regions
Curve shape parameters, end-point
saturations and end-point relative
permeability values are flow parameters Flow parameters vs. Swir
Residual saturation vs. Swir
Basic definitions – WOGn
WOGn - notation:
• Bookkeeping system for the flooding processes. It consists of a triplet –
W-O-G - and a cycle number - n.
• The positions in the triplet are fixed and reserved for
• Water,
• Oil
• Gas
• Each position state the phase-saturation change - D, I or C meaning
• Decreasing,
• Increasing or
• Constant
The nomenclature is prepared for higher cycles to
complete multi-cycle hysteresis boundary curves
Local trend curves: IDC2 Krwr SS+USS
Classification: Internal 2012-05-10 16
CFG+PP
Flooding
Calibration point moved to an
abnormal position for
visualization purposes
Local trend curves: IDC2 Sendra hist. match
Classification: Internal 2012-05-10 17
Saturation regions and flow parameter values ATZ
Classification: Internal 2012-05-10 18
ATZ – Above (capillary)
Transition Zone
Initialization of Sw and Flow Parameters
19
• Chart from Ghedan 2012
• Corey exponents vs depth
• ATZ =
Above Transition Zone
• CTZ =
Capillary Transition Zone
Chart from Ghedan 2012
ATZ
CTZ
Hamon SPE-63144-MS
Saturation regions and RFP values in CTZ
20 Hamon SPE-63144-MS
Kr are distributed vs Swinit via SATNUM Wettability changes vs height above WOC and permeability
21
In capillary transition zone Above capillary transition zone
Hamon SPE-63144-MS
QC using global trend functions
Classification: Internal 2012-05-10 22
Relative permeability with uncertainty
Classification: Internal 2012-05-10 23
Benefits of parametric SCAL modeling
:
• Special core analysis (SCAL) is a cornerstone in modeling multiphase flow of
injection strategies for both basic and improved oil recovery processes.
Improved SCAL models imply more reliable reservoir simulation results.
• Proper SCAL models may improve the simulation of reservoir performance
and the quantification of SCAL related uncertainties, possibly worth billions
of dollars.
• The distinct advantages of using a parametric description of SCAL
properties, far outweigh the disadvantages of minor loss of quality of the
selected formulas (or correlations) when doing trend analysis in a large
database.
:
• Implemented as an evaluation tool in Statoil’s portfolio
• Statoil is probably industry leader within parametric SCAL evaluation and
modeling
Basic elements of parametric SCAL modeling
Classification: Internal 2010-11-01
26
Presentation title
Presenters name
Presenters title
E-mail address ……@statoil.com
Tel: +4700000000 www.statoil.com
Classification: Internal 2013-08-21
Work flow for SCAL modeling
Caesar parameters & scalars
Cleopatra (Kr, Sr) Kr curves, scalars, exp data
Sendra (Kr, Sr, Pc) Numeric interpretation of exp
Hadrian scalar & curve generator
Eclipse & Stars
Servilia (Pc) Pc curves, scalars, exp data
Laboratory data Eclipse e-Core
Key Publications • Lomeland F., Ebeltoft E. and Thomas W.H.: “A New Versatile Relative
Permeability Correlation”. Paper SCA 2005-32, International Symposium of
the Society of Core Analysts held in Toronto, Canada, 21-25 August, 2005.
• Lomeland F. and Ebeltoft E.:“A New Versatile Capillary Pressure
Correlation”. Paper SCA 2008-08, International Symposium of the Society
of Core Analysts, Abu Dhabi, UAE, 29 October – 2 November, 2008.
• Lomeland F., Hasanov B., Ebeltoft E. and Berge M. 2012. A Versatile
Representation of Up-scaled Relative Permeability for Field Applications.
Paper SPE 154487-MS presented at the EAGE Annual Conference &
Exhibition incorporating SPE Europec held in Copenhagen, Denmark, 4-7
June 2012.
• Lomeland F. and Ebeltoft E.:“Versatile Three-phase Correlations for
Relative Permeability and Capillary Pressure”. Paper SCA 2013-034,
International Symposium of the Society of Core Analysts, Napa Valley,
California, USA, 16–19 September, 2013.
Classification: Internal 2010-11-01