SCRF 24 Annual Meeting May 4 2011 - Stanford Earth · SCRF 2011 5 SCRF Research topics • Modeling...
Transcript of SCRF 24 Annual Meeting May 4 2011 - Stanford Earth · SCRF 2011 5 SCRF Research topics • Modeling...
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SCRF 24th Annual Meeting May 4‐5 2011
Stanford Center for Reservoir Forecasting
Annual Meeting 2011
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SCRF 2011 2
SCRF 24th Annual Meeting
•SCRF Overview
•2011 Research Highlights
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SCRF 2011 3
SCRF Mission
Leading research in quantitative reservoir modeling with a focus on data integration and assessing uncertainty
SCRF Overview
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SCRF 2011 4
• Quantitative modeling of geological heterogeneity
• Modeling uncertainty
• Building 3D/4D models accounting for scale and accuracy of geological, geophysical and reservoir engineering data
SCRF Overview
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SCRF 2011 5
SCRF Research topics
• Modeling uncertainty• Uncertainty of global reservoir parameters• Modeling integrated uncertainty in metric space• Distance‐Kernel Method
• Multiple‐point geostatistics • How to quantify geological concepts / Training images ?• Stochastic simulation of (geo)patterns• Design of fast and robust geostatistical algorithms• Application to actual reservoirs, carbonate and clastic• Hybridization with surface and object‐based methods
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SCRF 2011 6
SCRF Research topics• Seismic reservoir characterization
• Statistical Rock physics• Interpretation of facies from seismic data• Dealing with sub‐seismic scale• Integrating different types of geophysical data• Seismic constraints for Basin Modeling
• History matching & 4D seismic• Geologically consistent HM• Workflows for integrating 4D seismic• Streamline‐based HM
• Value of Information• Decision driven modeling of uncertainty
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SCRF 2011 7
SCRF: Students, Staff, and Faculty• Graduate students (~10)
• Research Associates, Post‐docsCeline Scheidt
• Staff Thuy Nguyen, Joleen Castro
• Faculty• Jef Caers
• Tapan Mukerji
• Alexandre Boucher
Work closely with other research groups in the School of Earth Sciences
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SCRF 2011 8
•SRBRock Physics
•SUPRI/Smart FieldsFlow simulation
•SEP Seismic Imaging
•SPODDSDeep Water Systems
•BPSMBasin Modeling
SCRF: Stanford Collaborations
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SCRF: Affiliate Members
SCRF 2011 9
Long‐term research goals are made possible throughcontinuous funding of most major oil, service and software companies
New sponsors:BPGDF SuezUniversite de Neuchatel
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SCRF: Membership Benefits
• Graduates
• Facilitated access to research• Reports
• Theses
• Software
• Annual Meeting
• Visits
• Research collaborations
SCRF 2011 10
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SCRF 2011 11
SCRF 24th Annual Meeting
2011 Research and Results: Highlights
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SCRF 2011 12
1.Modeling Uncertainty in Metric Space and
Distance Kernel Methods
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Multidimensional Scaling (MDS)Caers et al., 2009
Map a set of N earth models using a pair wise distance between them.
1.
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Scheidt & Caers
1.
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1.Kwangwon Park, Ph.D. Thesis
Modeling Uncertainty in Metric Space
Reformulation of non‐linear inverse problems in metric space
SCRF 2011 15
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1.
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Scheidt & Caers
How many models?
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1.
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Time
Water produ
ction
Scheidt & Caers
P25‐P75 Interval
Adaptive sequential space filling design for geostatistical simulations
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SCRF 2011 18
1.Distance based sensitivity analysis for fractured reservoirs
Fenwick & Park
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SCRF 2011 19
1.Distance based modeling of structural uncertainty
Addy Satija
Faults and well placement uncertainty
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SCRF 2011 20
1.Distance based modeling of uncertain geologic scenarios
Park and Caers
P( geologic scenario | data)
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SCRF 2011 21
2.Multiple Point Geostatistics
Algorithms
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SCRF 2011 22
2.Mehrdad Honarkhah, Ph.D. thesis
Stochastic Simulation of Patterns using Distance‐Based Pattern Modeling
DISPAT
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SCRF 2011 23
2.Mehrdad Honarkhah, Ph.D. thesisModeling non‐stationarity
2‐D Gabor filter
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SCRF 2011 24
2.
Mehrdad Honarkhah, Ph.D. thesis
Modeling non‐stationarity
Gabor filter bank
orientation
freq
uency
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SCRF 2011 25
2.Mehrdad Honarkhah, Ph.D. thesis
Convolution with Gabor filter
Extracted features used for clustering and automatic segmentation
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SCRF 2011 26
2.Mehrdad Honarkhah, Ph.D. thesisMPS with non‐stationarity
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SCRF 2011 27
3.Seismic Reservoir Characterization
Quantitative seismic interpretation
Seismic inversion for facies and fluids
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SCRF 2011 28
3.
Data Integration
CoreWell logsSeismic data
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3.
Seismic Impedance, Molasse Basin, Austria
Stright et al.
Multi‐attribute, multi‐scale calibration for reservoir characterization
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3.Stright et al.
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3.Stright et al.
Tetris/SGeMS
Geostatistical modeling of sub‐seismic scale sandstone packages.
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SCRF 2011 32
3.Seismic inversion for facies and fluids
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SCRF 2011 33
3.
Cascaded or multi‐step approach
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SCRF 2011 34
3.
Cascaded or multi‐step approach
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SCRF 2011 35
3.
Geostats
Cascaded or multi‐step approach
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SCRF 2011 36
3.
Geostats
Simultaneous or single‐loop approach
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SCRF 2011 37
3.
Geostats
Simultaneous or single‐loop approach
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SCRF 2011 38
3.
Geostats
Simultaneous or single‐loop approach
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SCRF 2011 39
3.
Perturb the initial modelGeostats
Simultaneous or single‐loop approach
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SCRF 2011 40
3.Dario Grana
Two angle stacks:
• Near = 20°• Far = 44°
Well data
Single‐loop inversion using probability perturbation method
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SCRF 2011 41
3.Dario Grana
Litho‐fluid classes
Single‐loop inversion using probability perturbation method
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SCRF 2011 42
3.
Iterative Spatial ResamplingApplied to Single Loop Seismic Inversion
Cheolkyun JeongGregoire Mariethoz
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SCRF 2011 43
3.Iterative Spatial Resampling (ISR)
Gregoire Mariethoz et al.
ISR perturbs realizations of a spatially dependent variable while preserving its spatial structure.
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SCRF 2011 44
3.Adaptive Spatial Resampling (ASR) Cheolkyun Jeong
Gregoire Mariethoz
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SCRF 2011 45
Log1
0RM
SE
Iterations
3.ASR optimization
Reference model
Cheolkyun JeongGregoire Mariethoz
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SCRF 2011 46
4.Seismic History Matching
Production dataTime‐lapse seismic data
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SCRF 2011 47
Integration of production and time lapse Seismic data: Norne field Amit Suman
4.
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Southern part of Norwegian sea
C
D
EG
C
D
EG
Norne Field Segment E
4.
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• Well logs
• Horizons
• Well data
‐ Oil , gas and water flow rate
‐ BHP (Bottom hole pressure)
4.
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Time Lapse Seismic Data
Near, Mid , Far and Full stack 3D seismic Q – Marine Seismic
2001 2003 2004 2006
4.
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Generatemultiplemodels
Evaluatemisfit
.
Reservoir
Model
Observed flow and seismic response
Predicted flow and seismic response
Joint Inversion Loop
4.
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What are the sensitive parameters in joint time‐lapse and production inversion loop?
– Flow response
– Seismic response
4.
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5.Hybrid Geomodeling–Surface based models
–Generalized cellular automata
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Two points
Multiple points
Object based
Surface based
Process based
Conditioning capabilities
Geological realism
Bertoncello et al.
5.
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5.Hybrid Geomodeling
Holly Michael et al. 2008/2009Leiva, 2008
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SCRF 2011 56
5.Conditioning surface based models to log data
Lobe‐by‐lobe optimization using genetic algorithm and Nelder‐Mead
Bertoncello et al.
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5.Conditioning surface based models to log data: Application to Karoo dataset
Bertoncello et al.
9 wells2 sediment sources
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Flow physics
Bed surface
processes
Fluid mechanics
(Physics equations)
Generalized cellular automata (Rule‐based)
Decomposition of the problem
5.Hybrid Geomodeling Siyao Xu
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A coupled scheme
Generalized Cellular Automata Bed Surface Model
Local Flow EnergyLocal Bed Surface
Analytical Flow Equations
Lattice Boltzmann Flow Model
Discretize
Siyao Xu
5.
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SCRF 2011 60
Research and Results: Highlights
1.Modeling Uncertainty ‐ Distance‐Kernel Methods
2.Multiple‐point simulation algorithms
3.Seismic reservoir characterization
4.Time‐lapse seismic history matching
5.Hybrid geomodeling
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SCRF 2011 61
Guest Speakers
Lisa StrightUniversity of Utah
Gregoire MariethozUniversity of Texas, Austin
Darryl FenwickStreamsim
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SCRF 2011 62
Research Report
Digital annual report with papers
Ph.D. Theses
Presentations: http://scrf.stanford.edu
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SCRF 24th Annual Meeting May 4‐5 2011
Stanford Center for Reservoir Forecasting
Annual Meeting 2011