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Original Articles

Automatic History Matching Using the Integration of Response Surface Modeling with a Genetic Algorithm

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Pages 360-374 | Received 21 Feb 2010, Accepted 02 Apr 2010, Published online: 27 Dec 2011

References

  • Anterion , F. , Eymard , R. and Karcher , B. Use of parameter gradients for reservoir history matching . SPE Symposium on Reservoir Simulation . February 6–8 , Houston , TX . Paper No. SPE 18433
  • Bissell , R. C. , Sharma , Y. and Killough , J. E. History matching using the method of gradients: Two case studies . SPE Annual Technical Conference and Exhibition . September 22–28 , New Orleans , LA . Paper No. SPE 28590
  • Dejean , J. P. and Blanc , G. Managing uncertainties on production predictions using integrated statistical methods . SPE Annual Technical Conference and Exhibition . October 3–6 , Houston , TX . Paper No. SPE 56696
  • Gomez , S. , Gosselin , O. and Barker , J. W. 2001 . Gradient-based history matching with a global optimization method . SPE J. , 6 : 200 – 208 .
  • Holland , J. 1975 . Adaptation in Natural and Artificial Systems University of Michigan Press. .
  • Myers , R. H. and Montgomery , D. C. 1995 . Response Surface Methodology New York : John Wiley & Sons. .
  • Ouenes , A. and Saad , N. A new fast parallel simulated annealing algorithm for reservoir characterization . SPE Annual Technical Conference and Exhibition . October 3–6 , Houston , TX . Paper No. SPE 26419
  • Wen , X.-H. , Yu , T. and Lee , S. Coupling sequential-self calibration and genetic algorithms to integrate production data in geostatistical reservoir modeling . Proceedings of the Seventh Geostatistics Congress . Banff, Alberta , Canada. pp. 691 – 702 .

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