Direct spatiotemporal interpolation of reservoir flow responses

S. Srinivasan, S. Srinivasan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The traditional reservoir modeling workflow consists of first developing a reservoir model, performing flow simulation on that model, validating the model by performing history matching and finally using the history matched model to make predictions of future performance. In contrast, this paper presents two approaches to directly analyze the spatio-temporal variations of dynamic responses such as pressure and well flowrates and perform interpolation. Both these techniques are anchored to the data at the wells. Therefore, the resultant spatio-temporal predictions of dynamic response are history matched by construction. The proposed approach can be used to quickly determine optimal location to drill additional wells and to gauge the influence of reservoir management decisions.

Original languageEnglish (US)
Title of host publicationIAMG 2006 - 11th International Congress for Mathematical Geology
Subtitle of host publicationQuantitative Geology from Multiple Sources
PublisherInternational Association for Mathematical Geology, IAMG 2006
ISBN (Print)9782960064407
StatePublished - Jan 1 2006
Event11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources, IAMG 2006 - Liege, Belgium
Duration: Sep 3 2006Sep 8 2006

Publication series

NameIAMG 2006 - 11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources

Other

Other11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources, IAMG 2006
CountryBelgium
CityLiege
Period9/3/069/8/06

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All Science Journal Classification (ASJC) codes

  • Geology
  • Computational Mathematics

Cite this

Srinivasan, S., & Srinivasan, S. (2006). Direct spatiotemporal interpolation of reservoir flow responses. In IAMG 2006 - 11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources (IAMG 2006 - 11th International Congress for Mathematical Geology: Quantitative Geology from Multiple Sources). International Association for Mathematical Geology, IAMG 2006.