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Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data

Wen Zheng; Yong Shihe and Wang Zhongwen(University of Petroleum. Dongying 257062)  
The characteristic parameters of sedimentary microfacies are extracted by using well logs and geological parameter curves.The digital well logmicrofacies model of the Chengdao oil field is established by means of the principal component analysis and fuzzy K-A average cluster method. The software of automatically and continuously discriminating microfacies based on the above-mentioned method has been developed. The well logging data of several wells located in the Chengdao oilfield have been processed by this software. The results well coincide with the micro factes that are determined by geologists. It has been demonstrated that the suggested methods are successful, the software is feasible. This paper presents the results of processing well log data in Well CB 20-1.
【CateGory Index】: P631.84
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