A Primer on Machine Learning in Subsurface Geosciences / SpringerBriefs in Petroleum Geoscience & Engineering (PDF)
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Autoren-Porträt von Shuvajit Bhattacharya
Dr. Shuvajit Bhattacharya is a researcher at the Bureau of Economic Geology, the University of Texas at Austin. He is an applied geophysicist/petrophysicist specializing in seismic interpretation, petrophysical modeling, machine learning, and integrated subsurface characterization. He uses advanced computational technologies to solve complex problems in geosciences, which have societal and economic impacts. Dr. Bhattacharya has completed several projects in diverse geologic settings in the US, Norway, Australia, South Africa, and India. He worked in both academia and industry. He has published and presented more than 50 technical articles in peer-reviewed journals and conferences. His current research focuses on the pressing issues and frontier technologies in energy exploration, development, and subsurface fluid storage (carbon, hydrogen, and wastewater). He completed his Ph.D. at West Virginia University and an M.Sc. at the Indian Institute of Technology Bombay.
Bibliographische Angaben
- Autor: Shuvajit Bhattacharya
- 2021, 1st ed. 2021, 172 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030717682
- ISBN-13: 9783030717681
- Erscheinungsdatum: 03.05.2021
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- Grösse: 11 MB
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Englisch
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