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.
- Geological exploration
- expert system
- artificial intelligence
Mulvenna, M., Woodham, C., & Gregg, J. B. (1991). AI Applications in Geology: A Case Study with Explorer. In MF. McTear, & N. Creaney (Eds.), AI and Cognitive Science ’90 (Part of the series Workshops in Computing) (pp. 109-119). Springer. https://doi.org/10.1007/978-1-4471-3542-5_7