AI Applications in Geology: A Case Study with Explorer

Maurice Mulvenna; C Woodham; J.B. Gregg

doi:10.1007/978-1-4471-3542-5_7

AI Applications in Geology: A Case Study with Explorer

Maurice Mulvenna, C Woodham, J.B. Gregg

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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.

Original language	English
Title of host publication	AI and Cognitive Science ’90 (Part of the series Workshops in Computing)
Editors	MF McTear, Norman Creaney
Publisher	Springer
Pages	109-119
ISBN (Print)	3-540-19653-6
DOIs	https://doi.org/10.1007/978-1-4471-3542-5_7
Publication status	Published (in print/issue) - 1991

Keywords

Geological exploration
expert system
artificial intelligence
Prolog
geomorphology

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10.1007/978-1-4471-3542-5_7

AI Applications in Geology-A Case Study with ExplorerAuthor Accepted Manuscript, 2.84 MB

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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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AB - 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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KW - expert system

KW - artificial intelligence

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KW - geomorphology

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BT - AI and Cognitive Science ’90 (Part of the series Workshops in Computing)

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A2 - Creaney, Norman

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AI Applications in Geology: A Case Study with Explorer

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Keywords

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