INTERPRETATION OF MOLECULAR GEOCHEMISTRY DATA BY THE APPLICATION OF ARTIFICIAL-INTELLIGENCE TECHNOLOGY

This paper describes the application of fuzzy logic and Dempster-Shafe r theory, elements of artificial intelligence technology, to the inter pretation of molecular geochemistry data with respect to key explorati on parameters, such as thermal maturity, organic facies (organic matte r type and depositional environment of the source rock(s)), geological age, and the degree of biodegradation. The interpretation guidelines for the assessment of these exploration parameters are given as fuzzy rules, membership functions, and the predictive power of individual fu zzy rules. In this manner, any uncertainty or imprecision associated w ith molecular parameters is accounted for in the interpretation guidel ines. The entire interpretation process is automated within the BIAS ( Biomarker Interpretation Advisory System) computer program. (C) 1997 E lsevier Science Ltd.