This basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs.
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Description
This basis of this research is to apply novel techniques from Artificial Intelligence and Expert Systems in capturing, integrating and articulating key knowledge from geology, geostatistics, and petroleum engineering to develop accurate descriptions of petroleum reservoirs. The ultimate goal is to design and implement a single powerful expert system for use by small producers and independents to efficiently exploit reservoirs.
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Kelkar, B. G.; Gamble, R. F.; Kerr, D. R.; Thompson, L. G. & Shenoi, S.Application of artifical intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1993--October 1994,
report,
July 1, 1995;
United States.
(https://digital.library.unt.edu/ark:/67531/metadc793715/:
accessed April 19, 2024),
University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.