A Knowledge-Based Geological Prospecting System

Guan Jiwen; Zhang Chengqi; Fang Yingyao

doi:10.1117/12.938490

6 April 1987 A Knowledge-Based Geological Prospecting System

Guan Jiwen, Zhang Chengqi, Fang Yingyao

Proceedings Volume 0657, Applications of Artificial Intelligence IV; (1987) https://doi.org/10.1117/12.938490
Event: 1986 International Symposium/Innsbruck, 1986, Innsbruck, Austria

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.

Citation Download Citation

Guan Jiwen, Zhang Chengqi, and Fang Yingyao "A Knowledge-Based Geological Prospecting System", Proc. SPIE 0657, Applications of Artificial Intelligence IV, (6 April 1987); https://doi.org/10.1117/12.938490

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