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Proceedings Paper

A Knowledge-Based Geological Prospecting System
Author(s): Guan Jiwen; Zhang Chengqi; Fang Yingyao
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Paper Abstract

This paper systematically presents a knowledge-based geological prospecting system which is intend to provide consultation on geological mapping for the aerogeophysical prospecting interpreters. The system accepts the data of an aeromagnetic survey and an aeroradioactive survey, then it uses these data to identify magnetic anomalies and radioactive anomalies, to enclose the boundaries of the anomalous bodies, and finally to distinguish the lithologies of the anomalous bodies. Yeanwhile, the system gives a confidence measure for each conclusion and answers the questions about the consultation. The capability of this system to provide the consultation relies on the knowledge the system has possessed. The knowledge has been offered by a panel of aerogeophysical pros-pecting domain experts. The system adopts a forward-backward double-threshold inexact inference strategy so that it is able to infer under the uncertain and incomplete evidences and to get approximate conclusions. In addition, the system provides explanation for its reasoning and also has knowledge acquisition functions, with those facilities the domain experts can modify and expand the knowledge base easily.

Paper Details

Date Published: 6 April 1987
PDF: 6 pages
Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); doi: 10.1117/12.938490
Show Author Affiliations
Guan Jiwen, Jilin University (China)
Zhang Chengqi, Jilin University (China)
Fang Yingyao, Aero-Geophysical Survey (China)


Published in SPIE Proceedings Vol. 0657:
Applications of Artificial Intelligence IV
John F. Gilmore, Editor(s)

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