Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization
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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization focuses on the development and application of electromagnetic measurement methodologies and their interpretation techniques for subsurface characterization. The book guides readers on how to characterize and understand materials using electromagnetic measurements, including dielectric permittivity, resistivity and conductivity measurements. This reference will be useful for subsurface engineers, petrophysicists, subsurface data analysts, geophysicists, hydrogeologists, and geoscientists who want to know how to develop tools and techniques of electromagnetic measurements and interpretation for subsurface characterization.
Key Features
- Includes case studies to add additional color to the presented content
- Provides codes for the mechanistic modeling of multi-frequency conductivity and relative permittivity of porous geomaterials
- Presents detailed descriptions of multifrequency electromagnetic data interpretation models and inversion algorithm
Readership
Engineers, Geoscientists, and Geophysicists involved in subsurface engineering and characterization for fossil fuel extraction, geothermal energy production, carbon sequestration, groundwater hydrology, and mineral resource extraction projects. Primary audience also includes engineers and scientists involved in non-destructive testing and material characterization using electromagnetic methods
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
Product details
- No. of pages: 382
- Language: English
- Copyright: © Elsevier 2021
- Published: July 13, 2021
- Imprint: Elsevier
- Paperback ISBN: 9780128214398
- eBook ISBN: 9780128214558
About the Authors
Siddharth Misra
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.
Affiliations and Expertise
Associate Professor, Harold Vance Department of Petroleum Engineering and the Department of Geology and Geophysics, Texas A&M University, USA
Yifu Han
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.
Affiliations and Expertise
Schlumberger, Beijing Geoscience Center, China
Yuteng Jin
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.
Affiliations and Expertise
Graduate Student Researcher, University of Oklahoma, USA
Pratiksha Tathed
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.
Affiliations and Expertise
Petrophysicist, BP, USA
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