DocumentCode :
2065573
Title :
A mineral deposit modelling and assessment expert system
Author :
Moore, Ian ; Sattar, Abdul
Author_Institution :
Queensland Dept. of Miner. & Energy, Brisbane, Qld., Australia
fYear :
1993
fDate :
24-26 Nov 1993
Firstpage :
270
Lastpage :
273
Abstract :
Presents the design and implementation of a knowledge-based system, the Queensland Mineral Deposit Expert (QMDE). The primary goal of this system is to assist in the modelling and economic assessment of potential mineral deposits in Queensland. The system produces an assessment of a mineral occurrence´s affinity to standard deposits for economic characteristics such as grade, current production tonnage, employment, and estimated mine value. These parameters are known from the mining operations that have occurred or currently are in progress at these deposits. QMDE is developed using the VP-Expert system shell. The system is affordable, can be made easily available on most personal computers, and can be enhanced with minimum effort. It has been successfully implemented in the Queensland mineral environment, and is currently being extended for specific commodity domains such as gold and copper. The system can be readily tailored to address specific mineral commodities and environments. The functions are being extended to incorporate intelligent access to large databases of facts stored on Queensland´s mineral deposits through manipulation of data models of mineral occurrence profiles and mining accident statistics
Keywords :
employment; expert systems; geophysical prospecting; microcomputer applications; mineral processing industry; minerals; mining; QMDE; Queensland Mineral Deposit Expert; Queensland, Australia; VP-Expert system shell; copper; data model manipulation; economic assessment; employment; estimated mine value; gold; intelligent access; knowledge-based system; large factual databases; mineral commodity domains; mineral grade; mineral occurrence profiles; mining accident statistics; mining operations; modelling; personal computers; production tonnage; standard deposits; Copper; Deductive databases; Employment; Environmental economics; Expert systems; Gold; Knowledge based systems; Microcomputers; Minerals; Production systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
Type :
conf
DOI :
10.1109/ANNES.1993.323027
Filename :
323027
Link To Document :
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