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Proceedings Paper

PLAYMAKER: a knowledge-based approach to characterizing hydrocarbon plays
Author(s): Gautam Biswas; Xudong Yu; William J. Hagins; John S. Strobel; Christopher G. St. C. Kendall; Robert L. Cannon; James C. Bezdek
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Paper Abstract

This paper discusses the design and implementation of PLAYMAKER: a knowledge base system for characterizing hydrocarbon plays. PLAYMAKER is a component of XX (eXpert eXplorer), a workstation-based tool that aids exploration geologists in a number of different tasks: sediment and carbonates simulation, play and field characterization, retrieval and storage of information in a geological database, comparison of play or field under study with other fields in the database, and report generation. PLAYMAKER is implemented using MIDST (Mixed Inferencing Dempster Shafer Tool), a rule-based expert system shell that incorporates mixed-iniative reasoning and inexact reasoning based on the Dempster-Shafer evidence combination scheme. This paper discusses the effectiveness of a two-level knowledge base structure adopted for the design and implementation of PLAYMAKER.

Paper Details

Date Published: 1 January 1990
PDF: 12 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21095
Show Author Affiliations
Gautam Biswas, Vanderbilt Univ. (United States)
Xudong Yu, Vanderbilt Univ. (United States)
William J. Hagins, Vanderbilt Univ. (United States)
John S. Strobel, Univ. of South Carolina (United States)
Christopher G. St. C. Kendall, Univ. of South Carolina (United States)
Robert L. Cannon, Univ. of South Carolina (United States)
James C. Bezdek, Univ. of West Florida (United States)

Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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