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Self-Potential Method: Theoretical Modeling and Applications in Geosciences

Self-Potential Method: Theoretical Modeling and Applications in Geosciences


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About the Book

1. Analytical methods in the interpretation of self-potential anomalies- a comprehensive review.- 2. Metaheuristics inversion of Self-Potential anomalies.- 3. Self-Potential inversion and uncertainty analysis via Particle Swarm Optimization.- 4. Interpretation of Self-Potential anomalies for investigating faults using the Levenberg-Marquardt and Particle Swarm Optimization methods: a study case in Çanakkale-Ayvacık, Turkey.- 5. Estimation of the buried model parameters from the self-potential data applying advanced approaches: A comparative study.- 6. Determining the structure factor and parameters of a buried polarized structure from Self potential anomaly data.- 7. Ensemble Kalman Inversion for Determining Model Parameter of Self-Potential Data in the Mineral Exploration.- 8. Advanced analysis of self-potential anomalies: Review of case studies from mining, archaeology and environment .- 9. Preferential groundwater flow pathways in sinkholes using self-potential (SP) method: A study case of Anina karstic region (Banat Mountains, Romania).- 10. Quantification of thickness for oil reservoir and determination of Rw for estimation of water saturation using SP log.- 11. High resolution electrical resistivity tomography and self-potential mapping for groundwater and mineral exploration in different geological settings of India.
About the Author: Dr. Arkoprovo Biswas is an Assistant Professor at the Department of Geology, Institute of Science, Banaras Hindu University (BHU), Varanasi. He received his B. Sc. (2002) in Geology from Presidency College, University of Calcutta, M. Sc. (2004) in Geological Science, M. Tech (2006) in Earth and Environmental Science from IIT Kharagpur, P. G. Diploma (2009) in Petroleum Exploration from Annamalai University. He joined Geostar Surveys India Pvt. Ltd as a Geophysicist in 2006 and later joined WesternGeco Electromagnetics, Schlumberger as an On-Board Data Processing Field Engineer/Geophysicist in 2007 and served there till 2008. In 2013 he received his Ph. D. in Exploration Geophysics from IIT Kharagpur. Later, he joined the Department of Earth and Environmental Sciences, Indian Institute of Science Education and Research Bhopal as a Visiting Faculty in 2014 and completed his tenure in 2015. He again joined Wadia Institute of Himalayan Geology (WIHG) Dehradun in 2016 as Research Associate and later he joined BHU in October 2017. His main Research Interest includes Near Surface Geophysics, Integrated Electrical and Electromagnetic Methods, Geophysical Inversion, Mineral, and Groundwater Exploration and Subsurface contamination. He has published more than 40 papers on theoretical modeling, inversion, and application in practical geoscience problems in peer-reviewed international, national journals and 6 book chapters. Dr. Biswas received the Prestigious M. S. Krishnan Medal of Indian Geophysical Union (IGU), Hyderabad for the year 2019 and B. C. Patnaik Memorial Gold Medal from the Society of Geoscientists and Allied Technologists (SGAT), Bhubaneshwar, Odisha, India in 2019. He is also a Life Member of the Indian Geophysical Union and an Active member of SEG (USA). He is also an Associate Editor of the Journal of Earth System Sciences, Spatial Information Research, Springer, and Results in Geophysical Sciences, Elsevier. Dr. Biswas is also a member of the Editorial Advisory Board of Natural Resources Research, and, Contributions to Geophysics and Geodesy Journals. He also published an Edited Book with Springer on "Advances in Modeling and Interpretation in Near Surface Geophysics".


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Product Details
  • ISBN-13: 9783030793326
  • Publisher: Springer International Publishing
  • Publisher Imprint: Springer
  • Height: 234 mm
  • No of Pages: 362
  • Series Title: Springer Geophysics
  • Weight: 689 gr
  • ISBN-10: 303079332X
  • Publisher Date: 04 Nov 2021
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 19 mm
  • Width: 156 mm


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