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首页> 外文期刊>Geofisica internacional >Stoneley wave predicted permeability and electrofacies correlation in the Bangestan Reservoir, Mansouri Oilfield, SW Iran
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Stoneley wave predicted permeability and electrofacies correlation in the Bangestan Reservoir, Mansouri Oilfield, SW Iran

机译:斯通利波预测伊朗西南部曼苏里油田班加斯坦水库的渗透率和电相相关性

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AbstractReservoir characterization is one of the most important goals for the development of any oilfield. Determination of permeability and rock types are of prime importance to judge reservoir quality. In this research, Stoneley waves from dipole sonic tools were used in order to discover changes in permeability in the Bangestan reservoir, Mansouri oilfield. Index (tortuosity) could be estimated by Stoneley waves. After comparing the permeability resulting from Stoneley waves, cores and the Timur method, it was concluded that all the three permeabilities were very similar. The core porosity and effective porosity from the analysis of well logs were found to match as well. Electrofacies (EF) method, as a clustering method, was utilized to find rock types in order to define reservoir and non-reservoir zones. Simultaneous with EF clustering, gamma ray, neutron porosity, density, sonic, water saturation and porosity (PHIE) data from 78 wells were also considered and interpreted. Nine clusters were defined as a result of the analysis, being reduced to only four clusters after applying PC (capillary pressure) data. Among the four clusters, clusters 1 and 2 contained more vuggy pores than the others. Fracture abundance and solution seams were observed more frequently in EF-3 as compared to other EFs. Based on the matrix type, Archie porosity classification types I and III were recognized. The pore sizes in EFs-1 and 2 were mostly of the B type while in EF-3, it was A type. The EFs generated and determined by Stoneley waves and the well log data were also compared, showing a good correlation.
机译:摘要储层表征是任何油田开发的最重要目标之一。确定渗透率和岩石类型对于判断储层质量至关重要。在这项研究中,利用偶极声波测井仪的斯通利波来发现曼苏里油田班格斯坦油藏的渗透率变化。指数(曲折度)可以通过斯通利波来估计。在比较了斯通利波,岩心和帖木尔方法产生的渗透率之后,得出的结论是所有三个渗透率都非常相似。测井分析得出的岩心孔隙度和有效孔隙度也匹配。利用电相(EF)方法作为聚类方法来查找岩石类型,以定义储层和非储层区域。与EF聚类同时,还考虑并解释了78口井的伽马射线,中子孔隙度,密度,声波,水饱和度和孔隙度(PHIE)数据。分析结果定义了九个类群,在应用PC(毛细血管压力)数据后减少为四个类群。在四个簇中,簇1和2的毛孔较其他簇多。与其他EF相比,在EF-3中观察到的骨折丰度和溶液接缝更常见。根据基质类型,识别出阿尔奇孔隙度分类类型I和III。 EFs-1和2中的孔径大多为B型,而EF-3中为A型。还比较了由斯通利波生成和确定的EF和测井数据,显示出良好的相关性。

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