Modeling Relative Permeability-Resistivity Relationships from Seepage Experiment Laws
Source abstract
Abstract
Relative permeability, as a key parameter characterizing multiphase fluid flow behavior in porous media, holds significant importance across various fields, such as reservoir evaluation and engineering geology. However, measuring relative permeability is time-consuming and costly. Considering the analogy between fluid flow and electrical current conduction provides a novel approach for studying multiphase flow characteristics using resistivity data. An integrated oil–water relative permeability and resistivity co-measurement experiment was specifically designed for a complex argillaceous sandstone reservoir in a block, referred to as Block A. Research has shown that as the resistance coefficient increases, the water and oil relative permeability decrease and increase, respectively. As the porosity–permeability comprehensive index increases and the shale content decreases, corresponding to the same resistance coefficient, the water and oil relative permeability show increasing and decreasing trends, respectively. The integration of tortuous capillary tube theory and three-water model concepts, combined with the flow-current similarity principle, has enabled the development of a novel relative permeability–resistivity correlation model that is applicable to complex argillaceous sandstone formations. The application of actual data from the study area shows that the relative errors of the water- and oil-phase relative permeability calculated by the proposed model are both small, at 16% and 8.6%, respectively. The model is validated to better characterize multiphase fluid flow in rocks, offering a new approach for accurately calculating relative permeability based on formation resistivity data.
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Research context
OpenAlex topics: Geophysical and Geoelectrical Methods · Seismic Imaging and Inversion Techniques · Hydraulic Fracturing and Reservoir Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Geo-Science, Northeast Petroleum University, Daqing 163318, China
State Key Laboratory of Continental Shale Oil, Northeast Petroleum University, Daqing 163318, China
College of Petroleum Engineering, Northeast Petroleum University, Daqing 163318, China
Laboratory of Enhanced Oil Recovery of Education Ministry, Daqing 163318, China
Research Institute of Exploration and Development, Dagang Oil Field, PetroChina, Tianjin 300280, China
Funding
Guiding Innovation Fund Project of Northeast Petroleum University
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