PLAYMAKER: a knowledge-based approach to characterizing hydrocarbon plays

Gautam Biswas; Xudong Yu; William J. Hagins; John S. Strobel; Christopher G. St. C. Kendall; Robert L. Cannon; James C. Bezdek

doi:10.1117/12.21095

1 January 1990 PLAYMAKER: a knowledge-based approach to characterizing hydrocarbon plays

Gautam Biswas, Xudong Yu, William J. Hagins, John S. Strobel, Christopher G. St. C. Kendall, Robert L. Cannon, James C. Bezdek

Author Affiliations +

Proceedings Volume 1293, Applications of Artificial Intelligence VIII; (1990) https://doi.org/10.1117/12.21095
Event: 1990 Technical Symposium on Optics, Electro-Optics, and Sensors, 1990, Orlando, FL, United States

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.

Citation Download Citation

Gautam Biswas, Xudong Yu, William J. Hagins, John S. Strobel, Christopher G. St. C. Kendall, Robert L. Cannon, and James C. Bezdek "PLAYMAKER: a knowledge-based approach to characterizing hydrocarbon plays", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); https://doi.org/10.1117/12.21095

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