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基于Debye 分解的岩石电性与孔渗参数关系探讨
引用本文:唐纤,唐新功,向葵,童小龙.基于Debye 分解的岩石电性与孔渗参数关系探讨[J].科学技术与工程,2021,21(18):7461-7466.
作者姓名:唐纤  唐新功  向葵  童小龙
作者单位:"油气资源与勘探技术"教育部重点实验室(长江大学),武汉430100;长江大学非常规油气湖北省协同创新中心,武汉430100
基金项目:国家自然科学基金项目(41874119,41674107);国家重点研发计划(2017YFB0202904)
摘    要:随着油气资源的深入开发与勘探难度的加大,常用的地震等声学方法已不能满足精准预测储层的要求,因此利用岩石的电学参数准确预测储层参数的方法越来越受到重视.通过岩石物理实验测量了碎屑岩、碳酸盐岩、变质岩的复电阻率、孔隙度与渗透率,基于Debye分解模型计算了岩样理论的相关激电参数,结合Archie公式与Kozeny-Carman方程预测了岩样的理论孔渗参数.根据理论模型与实测数据的拟合,确定了三类岩样预测模型待定系数的最佳取值范围,获得了模型拟合系数,最终得到了孔渗预测的相关经验公式.研究结果对于帮助岩石物理建模和指导油气勘探开发部署具有积极的理论意义和应用价值.

关 键 词:岩石物理  激电(IP)参数  孔渗预测  Debye分解  复电阻率
收稿时间:2020/11/6 0:00:00
修稿时间:2021/5/28 0:00:00

Discussion on the relationship between rock electrical properties and porosity and permeability parameters based on Debye decomposition
Tang Xian,Tang Xingong,Xiang Kui,Tong Xiaolong.Discussion on the relationship between rock electrical properties and porosity and permeability parameters based on Debye decomposition[J].Science Technology and Engineering,2021,21(18):7461-7466.
Authors:Tang Xian  Tang Xingong  Xiang Kui  Tong Xiaolong
Institution:Yangtze University,,Yangtze University,Yangtze University
Abstract:With the in-depth exploitation of oil and gas resources and the increasing difficulty of exploration, the requirements of accurate reservoir prediction is not satisfied by the commonly used acoustic methods such as seismic. Therefore, the method of accurately predicting reservoir parameters by using rock electrical parameters has attracted more and more attention. The complex resistivity, porosity, and permeability of clastic rocks, carbonate rocks, and metamorphic rocks were measured through petrophysical experiments of this research. Based on the Debye decomposition model, the relevant induced polarization parameters of the rock sample theory were calculated, combined with Archie''s formula and The Kozeny-Carman equation, the theoretical porosity and permeability parameters of the rock sample were predicted . According to the fitting between the theoretical model and the measured data, the optimal value ranges of the undetermined coefficients of the three types of rock sample prediction models are determined, the model fitting coefficients are obtained, and the relevant empirical formulas for porosity and permeability prediction are finally obtained. The research results have positive theoretical significance and application value for helping rock physics modeling and guiding oil and gas exploration and development deployment.
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