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Efficient characterization of uncertain model parameters with a reduced-order ensemble Kalman filter
(Massachusetts Institute of Technology. Earth Resources Laboratory, 2013)
Spatially variable model parameters are often highly uncertain and di fficult to observe. This has prompted the widespread use of Bayesian characterization methods that can infer parameter values from measurements of related ...
Joint flow-seismic inversion for characterizing fractured reservoirs: theoretical approach and numerical modeling
(Massachusetts Institute of Technology. Earth Resources Laboratory, 2013)
Traditionally, seismic interpretation is performed without any account of the flow behavior. Here, we present a methodology to characterize fractured geologic media by integrating flow and seismic data. The key element of ...
Real-time ensemble control with reduced-order modeling
(Massachusetts Institute of Technology. Earth Resources Laboratory, 2013)
The control of spatially distributed systems is often complicated by significant uncertainty about system inputs, both time-varying exogenous inputs and time-invariant parameters. Spatial variations of uncertain parameters ...