Well logging analysis plays an essential role in petroleum exploration and exploitation. It is used to identify the pay zones of gas or oil in the reservoir formations. This paper applies intelligent technology for we...
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ISBN:
(纸本)038723151X
Well logging analysis plays an essential role in petroleum exploration and exploitation. It is used to identify the pay zones of gas or oil in the reservoir formations. This paper applies intelligent technology for well logging analysis, particular combining data mining and expert system together, and proposes an intelligent system for well log analysis called IntWeL Analyzer in terms of data mining platform MSMiner and expert system tool OKPS. The architecture of IntWeL Analyzer and data mining algorithms, including Ripper algorithm and mouclas algorithm are also presented. mouclas is based on the concept of the fuzzy set membership function that gives the new approach a solid mathematical foundation and compact mathematical description of classifiers. The aim of the study is the use of intelligent technology to interpret the pay zones from well logging data for the purpose of reservoir characterization. This approach is better than conventional techniques for well logging interpretation that cannot discover the correct relation between the well logging data and the underlying property of interest.
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