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Full-Text Articles in Engineering
Reservoir Characterization Using Seismic Inversion Data, Subhash Kalla
Reservoir Characterization Using Seismic Inversion Data, Subhash Kalla
LSU Doctoral Dissertations
Reservoir architecture may be inferred from analogs and geologic concepts, seismic surveys, and well data. Stochastically inverted seismic data are uninformative about meter-scale features, but aid downscaling by constraining coarse-scale interval properties such as total thickness and average porosity. Well data reveal detailed facies and vertical trends (and may indicate lateral trends), but cannot specify intrawell stratal geometry. Consistent geomodels can be generated for flow simulation by systematically considering the precision and density of different data. Because seismic inversion, conceptual stacking, and lateral variability of the facies are uncertain, stochastic ensembles of geomodels are needed to capture variability.
In this …
Continuous Reservoir Model Updating By Ensemble Kalman Filter On Grid Computing Architectures, Xin Li
Continuous Reservoir Model Updating By Ensemble Kalman Filter On Grid Computing Architectures, Xin Li
LSU Doctoral Dissertations
A reservoir engineering Grid computing toolkit, ResGrid and its extensions, were developed and applied to designed reservoir simulation studies and continuous reservoir model updating. The toolkit provides reservoir engineers with high performance computing capacity to complete their projects without requiring them to delve into Grid resource heterogeneity, security certification, or network protocols.
Continuous and real-time reservoir model updating is an important component of closed-loop model-based reservoir management. The method must rapidly and continuously update reservoir models by assimilating production data, so that the performance predictions and the associated uncertainty are up-to-date for optimization. The ensemble Kalman filter (EnKF), a Bayesian …