PLAYMAKER: A KNOWLEDGE-BASED APPROACH TO CHARACTERIZING HYDROCARBON PLAYS
| Autor: | Robert L. Cannon, Gautam Biswas, William J. Hagins, Xudong Yu, Christopher G. St. C. Kendall, J. Strobel, James C. Bezdek |
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| Rok vydání: | 1990 |
| Předmět: |
Structure (mathematical logic)
Scheme (programming language) Workstation business.industry Computer science computer.software_genre Expert system Field (computer science) law.invention Knowledge-based systems Knowledge base Artificial Intelligence law Component (UML) Computer Vision and Pattern Recognition Artificial intelligence business computer Software computer.programming_language |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. :315-339 |
| ISSN: | 1793-6381 0218-0014 |
| DOI: | 10.1142/s0218001490000204 |
| Popis: | This paper discusses the design and implementation of PLAYMAKER, a knowledge-based 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 carbonate simulation, play and field characterization, retrieval and storage of information in a geological database, comparison of the 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-initiative 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. |
| Databáze: | OpenAIRE |
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