CLASSIFYING POTENTIAL HYDROCARBON RESERVOIRS USING ELECTROMAGNETIC SURVEY INFORMATION

摘要

A probabilistic method for classifying observed CSEM response for a resistiveanomaly to classify the responseinto multiple geologic categories indicative of hydrocarbon productionpotential. Each category is assigned a prior probability(301). For each category, conditional joint probability distributions forobserved CSEM data in the anomaly region are construct-ed(303) from rock property probability distributions (302) and a quantitativerelationship between rock/fluid properties and theCSEM data (304). Then, the joint probability distributions and priorprobabilities for each category (305) are combined with observeddata (307) and used in Bayes' Rule (306) to update the prior categoryprobabilities (308). Seismic data may be used to sup-plementCSEM data in the method.