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Vol. 59 No. 6

June 2007

Reservoir Simulation and Visualization

Global Optimization and Uncertainty Assessment for History Matching the Valhall Field

A study was made of a global-optimization method to history match a complex reservoir model. Evolutionary algorithms (EAs) were applied, and methods for improving the convergence of the optimization cycle were used. Sensitivity parameters, correlations, and parameter trends were identified in a global search space, and an uncertainty assessment of the most recent history match was carried out with an experiment-design matrix.

 

View a Synopsis of SPE 100946 published in JPT.

This article, written by Technology Editor Dennis Denney, contains highlights of paper SPE 100946, “History Matching of the Valhall Field Using a Global-Optimization Method and Uncertainty Assessment,” by B.R. Al-Shamma, SPE, Imperial College, London, and R. Teigland, Total E&P Norge, prepared for the 2006 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 24–27 September.

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