2023
DOI: 10.2113/rgg20224506
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Effect of Tilted Uniaxial Electrical Anisotropy Parameters on Signals of Electric and Electromagnetic Logging Soundings according to Results of Numerical Simulation

Abstract: —To study the effect of tilted uniaxial electrical anisotropy parameters on electric and electromagnetic logging signals, their numerical simulation and comparative analysis in homogeneous and layered models have been performed. An algorithm for three-dimensional numerical simulation of resistivity logging signals in spatially heterogeneous models with tilted principal axes of the electrical conductivity tensor, based on the finite-element method, was used in the calculations. The obtained results indicate the… Show more

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“…The study explored resistivity orthotropy and investigated the relationship between porosity and fracture parameters. Epov et al [19] employed the finite element method to analyze the impact of tilted uniaxial anisotropy on electric logging, offering a new approach to studying the physical and electrical properties of carbonate reservoirs. He et al [20] proposed a non-destructive method for testing the radial resistivity of cylindrical core samples, comparing different methods and using numerical simulations to highlight the variations in measurement results based on testing approaches, thereby enhancing the foundation for field interpretation.…”
Section: Introductionmentioning
confidence: 99%
“…The study explored resistivity orthotropy and investigated the relationship between porosity and fracture parameters. Epov et al [19] employed the finite element method to analyze the impact of tilted uniaxial anisotropy on electric logging, offering a new approach to studying the physical and electrical properties of carbonate reservoirs. He et al [20] proposed a non-destructive method for testing the radial resistivity of cylindrical core samples, comparing different methods and using numerical simulations to highlight the variations in measurement results based on testing approaches, thereby enhancing the foundation for field interpretation.…”
Section: Introductionmentioning
confidence: 99%