The Mathematical Institute, University of Oxford, Eprints Archive

Review of nonlinear Kalman, ensemble and particle filtering with application to the reservoir history matching problem

Luo, X. and Hoteit, I. and Duan, L. and Wang, W. (2011) Review of nonlinear Kalman, ensemble and particle filtering with application to the reservoir history matching problem. In: Nonlinear Estimation and Applications to Industrial Systems Control. Nova Publishers. (Submitted)

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Abstract

This chapter reviews the recent advances in applying different Bayesian filtering approaches to realistic assimilation problems in geosciences. We discuss the similarities and differences of these approaches, and present how to build data assimilation schemes that are efficient at reasonable computational costs. We also study the performances of these different filters in an application to the history matching problem in a synthetic, twodimensional,
oil-water reservoir model.

Item Type:Book Section
Subjects:D - G > General
Research Groups:Oxford Centre for Collaborative Applied Mathematics
ID Code:1422
Deposited By:Peter Hudston
Deposited On:11 Nov 2011 07:47
Last Modified:09 Feb 2012 13:57

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