AI Applications in Geology: A Case Study with Explorer

Maurice Mulvenna, C Woodham, J.B. Gregg

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

191 Downloads (Pure)


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.
Original languageEnglish
Title of host publicationAI and Cognitive Science ’90 (Part of the series Workshops in Computing)
EditorsMF McTear, Norman Creaney
ISBN (Print)3-540-19653-6
Publication statusPublished (in print/issue) - 1991


  • Geological exploration
  • expert system
  • artificial intelligence
  • Prolog
  • geomorphology


Dive into the research topics of 'AI Applications in Geology: A Case Study with Explorer'. Together they form a unique fingerprint.

Cite this