inversemodeling - ERE284...

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    Optimization in reservoir modeling,  engineering and management ERE 284 Department of Energy Resources Engineering Stanford University, Stanford, California, USA
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Overview Field Development Optimization
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Overview The history matching problem Reservoir model updating problem Real-time optimization problem Closed-loop reservoir management
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Techniques/Topics covered Deterministic, gradient-based history matching Pilot-point method Adjoint method Stochastic history matching with geological constraints Gradual deformation Probability perturbation Including 4D seismic data Scale issues and upscaling Pattern recognition techniques for dimension reduction Principal component analysis (PCA) Kernel PCA Neural networks Ensemble Kalman filters
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Reservoir modeling constrained to  flow and pressure data model  : model parameters  m , spatially distributed data
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  • Spring '10
  • .
  • Inverse function, Reservoir modeling, geological constraints, gradient­based history matching, Inversion Result

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