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王亮:Characterization of reservoir properties and pore structure based on micro-resistivity imaging logging: Porosity spectrum, permeability spectrum, and equivalent capillary pressure curve
发布日期:2024-06-11 作者:王亮

编号:CDUT-2024-30

标题:Characterization of reservoir properties and pore structure based on micro-resistivity imaging logging: Porosity spectrum, permeability spectrum, and equivalent capillary pressure curve

入藏号:WOS:001014888700001

中国科学院文献情报中心期刊分区:工程技术1区(2023)

本校作者:田杰;王亮

来源出版物:PETROLEUM EXPLORATION AND DEVELOPMENT  卷: 50  期: 3  页: 628-637 

出版年:2023

第一地址: 成都理工大学

关键词:micro-resistivity imaging loggingpore structureArchie's equationporosity spectrumpermeability spectrumcapillary pressure curveSichuan BasinPermian Maokou Formation

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摘要:According to the capillary theory, an equivalent capillary model of micro-resistivity imaging logging was built. Onthis basis, the theoretical models of porosity spectrum (i), permeability spectrum (Ki) and equivalent capillary pressure curve(pci) were established to reflect the reservoir heterogeneity. To promote the application of the theoretical models, the Archie’sequation was introduced to establish a general model for quantitatively characterizing i, Ki, and pci. Compared with the existing models, it is shown that: (1) the existing porosity spectrum model is the same as the general equation of i; (2) the Ki modelcan display the permeability spectrum as compared with Purcell’s permeability model; (3) the pci model is constructed on atheoretical basis and avoids the limitations of existing models that are built only based on the component of porosity spectrum,as compared with the empirical model of capillary pressure curve. The application in the Permian Maokou Formation of WellTSX in the Central Sichuan paleo-uplift shows that the i, Ki, and pci models can be effectively applied to the identification ofreservoir types, calculation of reservoir properties and pore structure parameters, and evaluation of reservoir heterogeneity.

文章链接地址:https://www.sciencedirect.com/science/article/pii/S187638042360415X?via%3Dihub#cekeyws10