Well-log Feature Extraction Using Wavelets and Genetic Algorithms
نویسندگان
چکیده
Definition and interpretation of sedimentary facies often involves examination of well logs to assess values, trends, cycles, and sudden changes. The procedure, which often includes visual inspection of the logs, could be improved by using recently developed signal analysis and feature extraction techniques. In particular, wavelet analysis of logs provides an easily interpretable visual representation of signals and is an efficient tool for supporting stratigraphic analysis. Wavelets permit the detection of cyclicities and transitions, as well as unconformities and other abrupt changes in sedimentary successions.
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