Numerical Simulation Research on Dual-frequency Processing of Oil-based Mud Electrical Imaging Logging

• Published in: 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP) pp. 830 - 835
• Main Authors: Gao, Jianshen, Li, Dan, Lu, Chunli, Jiang, Liming, Zhu, Kairan, Xue, Fei
• Format: Conference Proceeding
• Language: English
• Published: IEEE 08-07-2022
• Subjects: Conductivity; Dielectric constant; dual-frequency correction; formation dielectric constant; formation resistivity; Imaging; Numerical models; Numerical simulation; oil-based mud; Permittivity measurement; Solid modeling; standoff
• DOI: 10.1109/ICMSP55950.2022.9859101

Based on the 3D finite element program of oil-based mud electrical imaging logging, this paper studies the dual-frequency processing method of oil-based mud electrical imaging logging, including the working principle of the dual-frequency correction method, the measurement response signal and variation law of the numerical simulation model, the equivalent circuit model of oil-based mud electrical imaging logging, the rapid calculation method of three parameters, formation resistivity, formation permittivity and mud-cake thickness, and the influence laws of each parameter is summarized. The results show that the dual-frequency correction method eliminates the influence of high-resistivity mud and mud-cake on the formation resistivity measurement, thereby expanding the measurement range of formation resistivity, and also obtains the dielectric constant information of the formation, which enriches the application range of this method. At the same time, the thickness information of mud cake can be obtained in combination with oil-based mud parameters, which provides technical support for understanding mud intrusion.