Share Email Print

Proceedings Paper

MAGIK : A System For Hydrocarbon Play Analysis
Author(s): Patricia Morgan; Gautam Biswas; Christopher Kendall; James Bezdek; Tejwansh Anand
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Since the beginning of the domestic oil industry in 1859, the oil exploration process has been dependent on rules-of-thumb and best-guess strategies of expert geologists. In the absence of well-defined methods for collecting, analyzing, and interpreting geological data, oil exploration involved much guesswork and extreme financial risks, especially in the beginning when it was conducted "on a basis of feast or famine". The nature of oil exploration is such that it takes many years (sometimes decades) for a geologist to gain the knowledge and experience needed for analyzing geological data in a reliable and efficient manner. Exposure to a wide range of situations seems to be the key to developing expertise in the field. Another important issue that impacts oil exploration is the acquisition and handling of the diverse and vast amounts of data that are needed by experts to make reliable conclusions.

Paper Details

Date Published: 29 March 1988
PDF: 8 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946956
Show Author Affiliations
Patricia Morgan, Navy Regional Data Automation Center (United States)
Gautam Biswas, Vanderbilt University (United States)
Christopher Kendall, University of South Carolina (United States)
James Bezdek, Boeing Electronics Company (United States)
Tejwansh Anand, University of South Carolina (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

© SPIE. Terms of Use
Back to Top