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Self-Potential Method: Theoretical Modeling and Applications in Geosciences de Arkoprovo Biswas

Self-Potential Method: Theoretical Modeling and Applications in Geosciences: Springer Geophysics

Editat de Arkoprovo Biswas
en Limba Engleză Paperback – 23 aug 2022
The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.
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Specificații

ISBN-13: 9783030793357
ISBN-10: 3030793354
Ilustrații: XIII, 314 p. 178 illus., 139 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.46 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Seria Springer Geophysics

Locul publicării:Cham, Switzerland

Cuprins

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.

Notă biografică

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 Associateand 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”. 

Textul de pe ultima copertă

The book deals primarily with the aspects of advances in Self-Potential geophysical data modeling, different interpretation techniques, new ideas and an integrated study to delineate the subsurface structures associated with exploration, contamination, buried paleochannels, archaeological investigations, glaciology, geomorphology, subsurface mapping and also in hydrocarbon exploration.The book is specifically aimed with the state-of-art information regarding research advances and new development in these areas of study, coupled to extensive modelling and field investigations obtained from around the world. It is extremely enlightening for the students, research workers, scientists, faculty members in Applied Geophysics, Near Surface Geophysics, Potential field, Electrical and Electromagnetic methods, Mathematical Modeling Techniques in Earth Sciences, as well as Environmental and other practical problems associated with Earth Sciences.

Caracteristici

Presents latest developments in Self-Potential techniques Elucidates various aspects of advances in modelling and inversion in Self-Potential data Showcases applications related to innumerable recent field investigations