Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization

Table of Contents

Section 1 Multifrequency electromagnetic measurements and
interpretation models
1. Multifrequency electromagnetic data acquisition and interpretation in the laboratory and in the subsurface: A comprehensive review
Yifu Han, Siddharth Misra and Yuteng Jin
2. Petrophysical models for the interpretation of electromagnetic logs: A brief review
Pratiksha Tathed and Siddharth Misra
Section 2 Mechanistic models for the interpretation of multifrequency electromagnetic data
3. Multifrequency conductivity and permittivity of porous material containing non-conductive particles possessing surface conductance
Siddharth Misra and Yuteng Jin
4. Multi-frequency conductivity and permittivity of porous material containing conductive particles in redox inactive conditions
Yuteng Jin and Siddharth Misra
5. Effects of wettability of conductive and nonconductive particles on the multifrequency electromagnetic response of porous material
Siddharth Misra and Yuteng Jin
Section 3 Inversion-based interpretation of multifrequency electromagnetic data
6. Unified deterministic inversion of multifrequency electromagnetic measurements using relaxation models
7. Deterministic inversion of galvanic resistivity, induction resistivity, propagation resistivity, and dielectric dispersion logs
Yifu Han and Siddharth Misra
Section 4 Applications of multifrequency electromagnetic data and interpretation
8. Stochastic inversion based interpretation of multifrequency electromagnetic logs from a European organic-rich shale formation
Yifu Han and Siddharth Misra
9. Deterministic inversion based interpretation of multifrequency electromagnetic logs from wolfcamp and bakken shale formations
Pratiksha Tathed, Siddharth Misra and Yifu Han
Section 5 Advanced inversion-based interpretation of multifrequency electromagnetic data
10. Multifrequency electromagnetic data interpretation using stochastic Markov-chain Monte Carlo and simulated annealing methods
Yuteng Jin, Siddharth Misra and Yifu Han
11. Multifrequency electromagnetic data interpretation using particle swarm optimization and ant colony optimization methods
Siddharth Misra and Yuteng Jin

Authors

Siddharth Misra Associate Professor, Harold Vance Department of Petroleum Engineering and the Department of Geology and Geophysics, Texas A&M University, USA. Siddharth Misra is currently associate professor at the Harold Vance Department of Petroleum Engineering, Texas A&M University, College Station, Texas. His research work is in the area of data-driven predictive models, machine learning, geosensors, and subsurface characterization. He earned a PhD in petroleum engineering from the University of Texas and a bachelor of technology in electrical engineering from the Indian Institute of Technology in Bombay. He received the Department of Energy Early Career Award in 2018 to promote geoscience research. Yifu Han Schlumberger, Beijing Geoscience Center, China. Yifu Han is a Software Engineer in Schlumberger, Beijing Geoscience Center, and he currently focuses on formation testing and deep transient test. He has published 4 research papers in Elsevier and total 7 journal publications on data inversion, electromagnetic data interpretation, and multi-scale rock physics. He holds a master's degree from the College of Earth & Energy, University of Oklahoma. Yuteng Jin Graduate Student Researcher, University of Oklahoma, USA. Yuteng Jin is a graduate student researcher in the College of Earth & Energy, University of Oklahoma. He specializes in developing mechanistic models of complex conductivity/permittivity of porous media containing clays and conductive particles of varying wettability. He also develops stochastic inversion schemes for parameter estimation. Pratiksha Tathed Petrophysicist, BP, USA. Pratiksha Tathed is a petrophysicist for BP, and currently focuses on data acquisition planning and execution. She has published 2 journal papers in Elsevier on joint inversion of dielectric and resistivity logs. She holds a MS degree in Petroleum Engineering from the College of Earth & Energy, University of Oklahoma.