Abstract
The modern exploration geologist deals with large amounts of data. This paper describes a system, EXPLORER, which was designed to help manage data collected in gold exploration in Northern Ireland The system uses geologists heuristics of exploration and may be expanded to search for base-metals and precious-metals in regions of glaciated terrain. EXPLORER generates reports on each square km of the licence. It utilises a forward-chaining inference strategy, where the rules are fired from licence data held in a Prolog database, to produce the reports. The data includes information on geology, geomorphology, geophysics; and empirical data is analysed for both target and pathfinder elements.
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© 1991 Springer-Verlag Berlin Heidelberg
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Mulvenna, M.D., Woodham, C., Gregg, J.B. (1991). Artificial Intelligence Applications in Geology: A Case Study with EXPLORER. In: McTear, M.F., Creaney, N. (eds) AI and Cognitive Science ’90. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3542-5_7
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DOI: https://doi.org/10.1007/978-1-4471-3542-5_7
Publisher Name: Springer, London
Print ISBN: 978-3-540-19653-2
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