Description: Modeling and Interpretation in Subsurface Geophysics: Integrated Techniques and Case Studies offers a thorough examination of modern approaches to subsurface geophysical analysis, emphasizing the integration of advanced modeling, interpretation, and artificial intelligence. The book begins by outlining the significance of modeling and interpretation in environmental, mineral, and geotechnical contexts, highlighting evolving computational tools and methods. It examines resistivity and electromagnetic data techniques, presenting forward and inverse modeling strategies applied to hydrogeological and contamination studies. The text explores potential field data acquisition and modeling, focusing on inversion techniques used for geological structure delineation and resource exploration. A key theme is the fusion of multiple geophysical datasets through joint inversion methods, enhancing subsurface characterization by leveraging complementary information. AI and machine learning techniques, including neural networks and deep learning, are discussed with practical case studies demonstrating their role in data analysis, inversion, and feature detection. Applications for water resource assessment and pollution monitoring are covered, showcasing geophysical methods for aquifer mapping and contaminant plume investigations. Advanced modeling approaches for mineral exploration and extraction monitoring illustrate the use of 3D geophysical modeling and deep target detection. High-resolution techniques for structural and near-surface investigations are also detailed, along with data acquisition and processing workflows. Real-world examples provide insights into multi-method project implementations and lessons learned, while the book concludes by examining emerging technologies such as real-time monitoring, automation, and cloud-based geophysical platforms. This comprehensive resource advances the understanding of integrated geophysical modeling and AI-driven interpretation, fostering innovation and precision in subsurface investigations.
Brief description:
Dr. Arkoprovo Biswas is an Assistant Professor in the Department of Geology at the Institute of Science, Banaras Hindu University (BHU), Varanasi. His primary research interests include Near Surface Geophysics, Integrated Electrical and Electromagnetic Methods, Geophysical Inversion, Mineral and Groundwater Exploration, and Subsurface Contamination. He has published over 60 papers on theoretical modeling, inversion, and applications in practical geoscience problems in peer-reviewed international and national journals and six book chapters. He also edited two books published by Springer. Furthermore, he serves as an Editor of Results in Earth Sciences at Elsevier and an Associate Editor for Scientific Reports, International Journal of Geophysics, Contributions to Geophysics and Geodesy, and the Arabian Journal of Geosciences. He is also a member of the International Editorial Advisory Board for Natural Resources Research and Spatial Information Research and the Bitlis Eren University Journal of Science and Technology. He was formerly an Associate Editor for the Journal of Earth System Sciences and Results in Geophysical Sciences. He is a Life Fellow of the Geological Society of India and the International Science Congress Association, a Fellow of the Society of Earth Scientists, a Life Member of the Indian Geophysical Union, and an Active member of the Society of Exploration Geophysicists, USA.