Application of artifical intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1993--October 1994

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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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70 p.

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Kelkar, B.G.; Gamble, R.F.; Kerr, D.R.; Thompson, L.G. & Shenoi, S. July 1, 1995.

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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.

Physical Description

70 p.

Notes

OSTI as DE95000145

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  • Other Information: PBD: Jul 1995

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  • Other: DE95000145
  • Report No.: DOE/BC/14894--5
  • Grant Number: AC22-93BC14894
  • DOI: 10.2172/95336 | External Link
  • Office of Scientific & Technical Information Report Number: 95336
  • Archival Resource Key: ark:/67531/metadc793715

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  • July 1, 1995

Added to The UNT Digital Library

  • Dec. 19, 2015, 7:14 p.m.

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  • Jan. 4, 2016, 11:34 a.m.

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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. (digital.library.unt.edu/ark:/67531/metadc793715/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.