Quantitative Discrimination of Sedimentary Microfacies by Using Well Log Data
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摘要: 本文利用多种测井曲线及其计算的地质参数曲线提取反映沉积微相的特征参数。应用主成分分析与模糊Ｋ均值聚类方法建立了埕岛油田馆上段地层的测井－沉积微相数值模型，并开发了相应的计算机软件。对埕岛油田几口井测井资料的实际处理结果表明，应用本文提出的方法识别的沉积微相与地质划分的结果吻合较好。文中，给出了实际资料的处理结果。Abstract: 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.
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Key words:
- sedimentary microfacies /
- computer processing /
- well log data /
- well log geology
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