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Keywords: pckf
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Proceedings Papers
History Matching for Non-Gaussian Random Fields Using the Probabilistic Collocation Based Kalman Filter
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Symposium, February 21–23, 2011
Paper Number: SPE-141893-MS
... Abstract In this work, an approach for estimating non-Gaussian permeability field is developed, through a probabilistic collocation based Kalman filter (PCKF). In this approach, the polynomial chaos expansion is used to parameterize the non-Gaussian permeability field. The state variables...
Proceedings Papers
Probabilistic Collocation Based Kalman Filter for Assisted History Matching
Available to PurchasePublisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Symposium, February 21–23, 2011
Paper Number: SPE-141930-MS
... Abstract In this paper, we study the application of the probabilistic collocation based Kalman filter (PCKF) approach to history matching. Kalman filter is a classical approach for data assimilation and model calibration that has been widely used with success. It updates state variables (i.e...
