29 March 1988 MAGIK : A System For Hydrocarbon Play Analysis
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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.
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Patricia Morgan, Gautam Biswas, Christopher Kendall, James Bezdek, Tejwansh Anand, "MAGIK : A System For Hydrocarbon Play Analysis", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946956; https://doi.org/10.1117/12.946956
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KEYWORDS
Prototyping

Knowledge acquisition

Artificial intelligence

Process engineering

Data modeling

Data acquisition

Human-machine interfaces

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