Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1, 1995--September 30, 1996

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We have decomposed the overall system development into smaller component parts to allow us to focus on the expert knowledge required for that component. In addition, the decomposition will facilitate the implementation of the system and its validation and verification. The three component systems will be representative of how each of the experts in geology, geostatistics, and engineering characterizes the reservoir. The concurrent development of these component systems fits into the development of the large and small scale aspects of the system as originally stated in the proposal.

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83 p.

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Kerr, D.R.; Thompson, L.G. & Shenoi, S. May 1, 1997.

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Description

We have decomposed the overall system development into smaller component parts to allow us to focus on the expert knowledge required for that component. In addition, the decomposition will facilitate the implementation of the system and its validation and verification. The three component systems will be representative of how each of the experts in geology, geostatistics, and engineering characterizes the reservoir. The concurrent development of these component systems fits into the development of the large and small scale aspects of the system as originally stated in the proposal.

Physical Description

83 p.

Notes

OSTI as DE96001273

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  • Other Information: PBD: May 1997

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  • Other: DE96001273
  • Report No.: DOE/BC/14894--14
  • Grant Number: AC22-93BC14894
  • DOI: 10.2172/513506 | External Link
  • Office of Scientific & Technical Information Report Number: 513506
  • Archival Resource Key: ark:/67531/metadc694728

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Office of Scientific & Technical Information Technical Reports

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  • May 1, 1997

Added to The UNT Digital Library

  • Aug. 14, 2015, 8:43 a.m.

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  • Nov. 10, 2015, 6:55 p.m.

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Kerr, D.R.; Thompson, L.G. & Shenoi, S. Application of artificial intelligence to reservoir characterization: An interdisciplinary approach. Annual report, October 1, 1995--September 30, 1996, report, May 1, 1997; United States. (digital.library.unt.edu/ark:/67531/metadc694728/: accessed November 18, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.