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Multifrequency Electromagnetic Data Interpretation for Subsurface Characterization

  • ID: 5137681
  • Book
  • February 2021
  • 275 Pages
  • Elsevier Science and Technology
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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.
  • 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
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1. Review of electromagnetic logging tools and their applications in subsurface characterization
2. Review of mechanistic and empirical models for electromagnetic log interpretation
3. Mechanistic modelling of complex conductivity/permittivity influenced by the interfacial polarization of clays and conductive minerals
4. Multifrequency electromagnetic measurements on core samples and a unified deterministic inversion scheme to process various dispersive electromagnetic properties
5. Deterministic inversion-based interpretation of dielectric dispersion logs in Bakken Petroleum System
6. Hydrocarbon saturation in Bakken Petroleum System based on joint deterministic inversion of induction resistivity and dielectric dispersion logs
7. Deterministic inversion-based interpretation of galvanic resistivity and dielectric dispersion logs in Upper Wolfcamp shale formation
8. Joint deterministic inversion of multi-frequency relative permittivity and conductivity logs
9. Hydrocarbon saturation in a European Lower-Paleozoic organic-rich shale gas formation based on Markov-chain Monte Carlo stochastic inversion of broadband electromagnetic dispersion logs
10. Wettability assessment in organic-rich shale gas formation using stochastic inversion of broadband electromagnetic dispersion logs
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Misra, Siddharth
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.
Han, Yifu
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.
Tathed, Pratiksha
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.
Jin, Yuteng
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.
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