Workshop III: Data Assimilation, Uncertainty Reduction, and Optimization for Subsurface Flow - IPAM

Workshop III: Data Assimilation, Uncertainty Reduction, and Optimization for Subsurface Flow

Part of the Long Program Computational Issues in Oil Field Applications
May 22 - 26, 2017

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, May 22, 2017

Morning Session

08:00-08:50
Check-In/Light Breakfast (Hosted by IPAM)
08:50-09:00
Welcome and Opening Remarks
09:00-10:00
Dean Oliver (Uni Research)
Minimization for sampling and uncertainty quantification
10:00-10:15
Break
10:15-11:15
Femke Vossepoel (Technische Universiteit te Delft)
Towards data assimilation in coupled flow-geomechanical models
11:15-11:30
Break
11:30-12:30
Mike Hoversten (Chevron)
Title not available

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:30
Andrew Stuart (California Institute of Technology)
Blackbox Hierarchical Inversion
15:30-15:45
Break
15:45-16:45
Xiao-Hui Wu (ExxonMobil)
Modeling Subsurface Uncertainty: Practical Considerations
17:00-18:30
Poster Session & Reception (Hosted by IPAM)

Tuesday, May 23, 2017

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Albert Reynolds (University of Tulsa)
Combining Data Assimilation with Markov Chain Monte Carlo for Uncertainty Quantification
10:00-10:15
Break
10:15-11:15
David Echeverria Ciaurri (IBM Research)
Uncertainty Is on My Side: Two Views of Field Development and Performance Evaluation
11:15-11:30
Break
11:30-12:30
Geir Evensen (IRIS)
Properties of iterative ensemble smoothers and strategies for conditioning on production data

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:30
Jan-Dirk Jansen (Delft University of Technology)
Model-based production optimization and history matching – some (not so) recent developments
15:30-15:45
Break
15:45-16:45
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Title not available

Wednesday, May 24, 2017

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Daniel Tartakovsky (Stanford University)
Multi-fidelity simulations of multiphase flow under uncertainty
10:00-10:15
Break
10:15-11:15
Dongbin Xiu (Ohio State University)
Numerical Approximation Algorithms for Big Data
11:15-11:30
Break
11:30-12:30
Yalchin Efendiev (Texas A&M University - College Station)
Local reduced-order models and applications to data assimilation and inverse problems

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:30
Lou Durlofsky (Stanford University)
Optimization and Reduced-Order Modeling of Geological Carbon Storage Operations
15:30-15:45
Break
15:45-16:45
Jincong He (Chevron)
A New Approach to Analyzing Data Acquisition Programs Before and After Data Come In

Thursday, May 25, 2017

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Omar Ghattas (University of Texas at Austin)
Scalable methods for optimal control of PDEs with random coefficient fields
10:00-10:15
Break
10:15-11:15
Behnam Jafarpour (University of Southern California (USC))
Pattern-Based Calibration of Complex Subsurface Flow Models
11:15-11:30
Break
11:30-12:30
Jeremy Brandman (Exxon Research and Engineering Company)
The characterization of reservoirs using hypothetical remote tracer data

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:30
Pallav Sarma (Tachyus)
Redistribution of Steam Injection in Heavy Oil Reservoir Management to Improve EOR Economics, Powered by a Unique Integration of Reservoir Physics and Machine Learning
15:30-15:45
Break
15:45-16:45
Olwijn Leeuwenburgh (Netherlands Organization for Applied Scientific Research (TNO))
Ensemble optimization – theory, applications and challenges in subsurface flow

Friday, May 26, 2017

Morning Session

08:00-09:00
Continental Breakfast
09:00-10:00
Youssef Marzouk (Massachusetts Institute of Technology)
Parallel local approximation MCMC and certified dimension reduction for large-scale Bayesian inverse problems
10:00-10:15
Break
10:15-11:15
Peter-Jan van Leeuwen (University of Reading)
Nonlinear data-assimilation in high-dimensional spaces: exploring the typical set
11:15-11:30
Break
11:30-12:30
Tapan Mukerji (Stanford University)
Computing Value of Information in Earth Sciences: A Simulation-Regression approach

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:30
Stein Krogstad (SINTEF Applied Mathematics)
Adjoint-based sensitivities in MRST (Matlab Reservoir Simulation Toolbox) with application to multi- segment well completion design
15:30-15:45
Break
15:45-16:45
Xin Liu (Shell)
Development and application of multiobjective steepest descent method for water flooding optimization
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