Recent progress on reservoir history matching: a review |
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| Authors: | Dean S Oliver Yan Chen |
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| Institution: | 1.Center for Integrated Petroleum Research,University of Bergen,Bergen,Norway;2.Chevron Energy Technology Co.,Houston,USA |
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| Abstract: | History matching is a type of inverse problem in which observed reservoir behavior is used to estimate reservoir model variables
that caused the behavior. Obtaining even a single history-matched reservoir model requires a substantial amount of effort,
but the past decade has seen remarkable progress in the ability to generate reservoir simulation models that match large amounts
of production data. Progress can be partially attributed to an increase in computational power, but the widespread adoption
of geostatistics and Monte Carlo methods has also contributed indirectly. In this review paper, we will summarize key developments
in history matching and then review many of the accomplishments of the past decade, including developments in reparameterization
of the model variables, methods for computation of the sensitivity coefficients, and methods for quantifying uncertainty.
An attempt has been made to compare representative procedures and to identify possible limitations of each. |
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