Geostatistical reservoir modeling accounting for precision and scale of seismic data

C. V. Deutsch, S. Srinivasan, Y. Mo

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

34 Scopus citations

Abstract

An approach to model the detailed 3-D distribution of lithofacies and porosity constrained to seismic data is presented. The simulated annealing-based approach explicitly honors the relatively coarse vertical resolution, from a reservoir modeling perspective, and the less than perfect correlation of seismic with lithofacies proportions and effective porosity. Conventional geostatistical procedures such as co-located cokriging or the Markov-Bayes model assume that the seismic attribute has the same volumetric support as the geological modeling cells. The conventional techniques are reviewed, details of the proposed methodology are presented, and a reservoir case study is shown.

Original languageEnglish (US)
Title of host publicationSociety of Petroleum Engineers - SPE Annual Technical Conference and Exhibition
PublisherSociety of Petroleum Engineers
Pages9-19
Number of pages11
ISBN (Print)9781555634230
DOIs
StatePublished - 1996
Event1996 SPE Annual Technical Conference and Exhibition - Denver, United States
Duration: Oct 6 1996Oct 9 1996

Publication series

NameSociety of Petroleum Engineers - SPE Annual Technical Conference and Exhibition

Other

Other1996 SPE Annual Technical Conference and Exhibition
CountryUnited States
CityDenver
Period10/6/9610/9/96

All Science Journal Classification (ASJC) codes

  • Geochemistry and Petrology
  • Geology
  • Geotechnical Engineering and Engineering Geology

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  • Cite this

    Deutsch, C. V., Srinivasan, S., & Mo, Y. (1996). Geostatistical reservoir modeling accounting for precision and scale of seismic data. In Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition (pp. 9-19). (Society of Petroleum Engineers - SPE Annual Technical Conference and Exhibition). Society of Petroleum Engineers. https://doi.org/10.2523/36497-ms