基于聚类分析的页岩气测井数据电相分析:以西澳大利亚珀斯盆地为例

A. K. Torghabeh, R. Rezaee, R. Moussavi-Harami, B. Pradhan, M. Kamali, A. Kadkhodaie-Ilkhchi
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引用次数: 25

摘要

储层电相识别对确定含油气层段具有重要意义。本研究通过聚类分析确定了珀斯盆地Kockatea组的电相。该方法首先计算距离数据,然后利用链接函数在空间上进行连接。利用树形图函数提取研究区地层的聚类树。输入的测井数据包括声波测井(DT)、伽马测井(GR)、电阻率测井(IND)和自然电位(SP)。在该地层中共识别出30个储层电相。综合地球化学和岩石物理资料表明,3、4、9和10电相带具有页岩气生产潜力。此外,结果表明,聚类分析是一种精确、快速、经济的油气藏划分和确定油气藏电相的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electrofacies in gas shale from well log data via cluster analysis: A case study of the Perth Basin, Western Australia
Identifying reservoir electrofacies has an important role in determining hydrocarbon bearing intervals. In this study, electrofacies of the Kockatea Formation in the Perth Basin were determined via cluster analysis. In this method, distance data were initially calculated and then connected spatially by using a linkage function. The dendrogram function was used to extract the cluster tree for formations over the study area. Input logs were sonic log (DT), gamma ray log (GR), resistivity log (IND), and spontaneous potential (SP). A total of 30 reservoir electrofacies were identified within this formation. Integrated geochemical and petrophysics data showed that zones with electrofacies 3, 4, 9, and 10 have potential for shale gas production. In addition, the results showed that cluster analysis is a precise, rapid, and cost-effective method for zoning reservoirs and determining electrofacies in hydrocarbon reservoirs.
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Central European Journal of Geosciences
Central European Journal of Geosciences GEOSCIENCES, MULTIDISCIPLINARY-
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