scrf 23 annual meeting may 5 2010 - stanford earth
TRANSCRIPT
SCRF 23rd Annual Meeting May 5‐6 2010
Stanford Center for Reservoir ForecastingStanford Center for Reservoir Forecasting
Annual Meeting 2010
SCRF 2010 2
Research and Results: Highlights
SCRF 2010 3
Research and Results: Highlights
Five Themes
Ferguson
SCRF 2010 4
ONE
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1.Modeling Uncertainty and Inverse Problems
SCRF 2010 6
1.Challenges
Very high dimensions
Non‐linear
Non‐unique
SCRF 2010 7
1.Reformulation of non‐linear inverse problems in metric space
Kwangwon Park et al.
SCRF 2010 8
1.Modeling Uncertainty and Inverse Problems
Distance‐based methods
SCRF 2010 9
1.Modeling Uncertainty using distance based methods
Celine Scheidt et al.
Construct fine scale modelsUsing coarse scalesimulations
SCRF 2010 10
1.Modeling Uncertainty using distance based methods
Addy Satija
Structural uncertainty
SCRF 2010 11
1.Challenges
Very high dimensions
Non‐linear
Non‐unique
ApproachesMcMC samplingOptimization
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1.Iterative Spatial Resampling
Applied to History Matching
Gregoire Mariethoz et al.
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1.Iterative Spatial Resampling
Conditioning to soft data
Matz Haugen et al.
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1.Challenges
Very high dimensions
Non‐linear
Non‐unique
ApproachesDimension reduction and choice of base
SCRF 2010 15
1.Geological Bases and Uncertainty
Fernandez‐Martinez et al.
Basis vectors
original reconstruction
SCRF 2010 16
1.Challenges
Very high dimensions
Non‐linear
Non‐unique
ApproachesData Integration
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1.
Data Integration Cheolkyun JeongAmit Suman
CoreWell logsSeismic data
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1.Modeling Uncertainty and Inverse Problems
‐ Sensitivity
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1.Uncertainty in Basin and Petroleum System Modeling
‐ SensitivityBin Jia
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TWO
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2.Particle Swarm Optimization
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2.Particle Swarm Optimization
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2.Particle Swarm Optimization
Spring‐mass system
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2.Particle Swarm OptimizationStochastic differential equationParticle trajectory = stochastic processes
Analysis of stability
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2.Particle Swarm OptimizationThough stochastic PSO is not heuristic
Design of algorithm
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2.PSO: Advances and Applications in Seismic History Matching
Fernandez‐Martinez et al.
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2.Integration of production and time lapse Seismic data: Norne field
Amit Suman et al.
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THREE
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3.Hybrid Geomodeling
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3.Hybrid Geomodeling
Holly Michael et al. 2008/2009
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3.Hybrid Geomodeling
Leiva, 2009
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3.Hybrid Geomodeling
‐ conditioningAntoine Bertoncello et al.
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3.Hybrid Geomodeling
‐ Sensitivity analysis using distances
Antoine Bertoncello et al.
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3.Hybrid Geomodeling
Cellular Automata flow models
Siyao Xu
Salles et al. 2008 (CSIRO/IFP)
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FOUR
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4.Software
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4.Metrel
Petrel plug‐in for modeling uncertainty in metric space
Kwangwon Park et al.
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4.• New features in SGeMS
RegionsPartition a grid into active and inactive cells
Commands to add, delete and merge regions
Rahul Gupta et al.
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4.• New features in SGeMS
Ease of Use• Quick access to common operations
• Data Transforms
• Access to user defined python scripts
Rahul Gupta et al.
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4.Tetris Alex Boucher et al.
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4.Tetris Alex Boucher et al.
Next generation training image generator for SGeMS
SCRF 2010 42
4.Tetris Alex Boucher et al.
Recursive Composition Technique
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4.DISPAT Mehrdad Honarkhah
Distance based pattern simulation
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FIVE
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5.Value of Information
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5.Spatial modeling and VOI
‐ data reliability and workflow
Trainor‐Guitton et al.
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5.Value of Information
‐ History matching
Bratvold and Mukerji
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5.6
5
4
3
2
1
00.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4
Fore
cast
ing,
rms
History Matching, rms
Bratvold
Success of history matching (Bos, 2002)
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5.6
5
4
3
2
1
00.0 0.2 0.4 0.6 0.8 1.0 1.2 1.4
Fore
cast
ing,
rms
Stop?
History Matching, rms
Bratvold
Success of history matching (Bos, 2002)
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5.Value of Information
‐ Decision driven history matching
Bratvold
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Guest SpeakersProf. Reidar Bratvold
University of Stavanger
Prof. Sanjay Srinivasan
University of Texas, Austin
Dr. Faruk O. Alpak, Shell
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Research and Results: Highlights
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Research Report
Digital annual report with papers
Presentations: http://scrf.stanford.edu
SCRF 23rd Annual Meeting May 5‐6 2010
Stanford Center for Reservoir ForecastingStanford Center for Reservoir Forecasting
Annual Meeting 2010