Deep Learning for Seismic Data Enhancement and Representation

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Deep Learning for Seismic Data Enhancement and Representation | Shirui Wang (u. a.) | Buch | Advances in Oil and Gas Exploration & Production | xvi | Englisch | 2024 | Springer | EAN 9783031757440 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de ref. del artículo 130108689

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Shirui Wang received his BS. Degree in Electronic Information Engineering at University of Electronic Science and Technology of China. He is currently a Ph.D. candidate at the department of Electrical and Computer Engineering, University of Houston. He has published 16 papers and participated in 2 patents. His research interests include machine learning and data science for seismic data processing and analysis.

Dr Wenyi Hu received his Ph.D. degree in electrical engineering from Duke University, Durham, NC, USA, in 2005. From 2005 to 2009, he was a Research Scientist at Schlumberger-Doll Research. He was with ExxonMobil Upstream Research Company from 2009 to 2013 working there as a Senior Research Specialist. Between 2013 and 2021, he was the Vice President of Research at Advanced Geophysical Technology Inc, where he conducted research on geophysical modeling, imaging, and inversion, signal processing, and machine learning. He joined Schlumberger as the Global ML/AI Scientist - Subsurface in 2021.

Dr Xuqing Wu received the Ph.D. degree in computer science from the University of Houston, Houston, TX, USA, in 2011. He is currently an Associate Professor of Computer Information Systems with the College of Technology, University of Houston. Prior to joining the University of Houston in 2015, he was a Data Scientist and Software Engineer of the Energy and IT industry. His research interests include scientific machine learning, probabilistic modeling, and subsurface sensing.

Dr. Jiefu Chen is an Associate Professor with the Department of Electrical and Computer Engineering, University of Houston. He received the Ph.D. degree in electrical engineering from Duke University in 2010. From 2011 to 2015, he was a Staff Scientist with Weatherford International. Dr. Chen has published more than 100 technical papers in computational electromagnetics, inverse problems, machine learning for scientific computing, oilfield data analytics, seismic data processing, subsurface wireless communication, and well logging. Dr. Chen is a Full Member of USNC-URSI Commission F, National Academies of Sciences, Engineering, and Medicine, and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He has been serving as an associate editor for IEEE Journal on Multiscale and Multiphysics Computational Techniques since 2018, and for IEEE Transactions on Geoscience and Remote Sensing since 2020.Shirui Wang received his BS. Degree in Electronic Information Engineering at University of Electronic Science and Technology of China. He is currently a Ph.D. candidate at the department of Electrical and Computer Engineering, University of Houston. He has published 16 papers and participated in 2 patents. His research interests include machine learning and data science for seismic data processing and analysis.