EOR screening with an expert system

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

Abstract

The application of an Artificial Intelligence (AI) technique to assist in the selection of an Enhanced Oil Recovery process (EOR) is described. The aim of this Expert System (ES) is to provide reasoned comments on the applicability of such processes on the basis of reservoir characteristics. The knowledge base has been developed using a professional inference engine. To be closer to the type of reasoning used by experts, fuzzy logic concepts have been introduced in the knowledge representation. This approach leads to a methodology for selecting EOR processes and for intproving know-how by checking the criteria used by comparison with practical experience, and it helps to transfer the expert's knowledge to the users of the system. Moreover, estimations of additional field cases makes it possible to continuously refine the screening procedure.

Original languageEnglish
Title of host publicationSociety of Petroleum Engineers - Petroleum Computer Conference, PCC 1988
PublisherSociety of Petroleum Engineers
Pages137-147
Number of pages11
ISBN (Electronic)9781555635800
Publication statusPublished - 1 Jan 1998
EventSPE Petroleum Computer Conference, PCC 1988 - San Jose, United States
Duration: 27 Jun 198829 Jun 1988

Other

OtherSPE Petroleum Computer Conference, PCC 1988
CountryUnited States
CitySan Jose
Period27/6/8829/6/88

    Fingerprint

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geotechnical Engineering and Engineering Geology
  • Computer Science(all)

Cite this

Guerillot, D. (1998). EOR screening with an expert system. In Society of Petroleum Engineers - Petroleum Computer Conference, PCC 1988 (pp. 137-147). Society of Petroleum Engineers.