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A01=Jiefu Chen
A01=Shirui Wang
A01=Wenyi Hu
A01=Xuqing Wu
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Age Group_Uncategorized
Author_Jiefu Chen
Author_Shirui Wang
Author_Wenyi Hu
Author_Xuqing Wu
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Category1=Non-Fiction
Category=PHVG
Category=THR
Category=UN
Category=UNF
Category=UYQE
Category=UYT
COP=Switzerland
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Language_English
PA=Not yet available
Price_€100 and above
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Deep Learning for Seismic Data Enhancement and Representation

English

By (author): Jiefu Chen Shirui Wang Wenyi Hu Xuqing Wu

Seismic imaging is a key component of subsurface exploration, and it depends on a high-quality seismic data acquisition system with effective seismic processing algorithms. Seismic data quality concerns various factors such as acquisition design, environmental constraints, sampling resolution, and noises. The focus of this book is to investigate efficient seismic data representation and signal enhancement solutions by leveraging the powerful feature engineering capability of deep learning.

The book delves into seismic data representation and enhancement issues, ranging from seismic acquisition design to subsequent quality improvement and compression technologies. Given the challenges of obtaining suitable labeled training datasets for seismic data processing problems, we concentrate on exploring deep learning approaches that eliminate the need for labels. We combined novel deep learning techniques with conventional seismic data processing methods, and construct networks and frameworks tailored for seismic data processing. The editors and authors of this book come from both academia and industry with hands-on experiences in seismic data processing and imaging.

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Current price €154.84
Original price €162.99
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A01=Jiefu ChenA01=Shirui WangA01=Wenyi HuA01=Xuqing WuAge Group_UncategorizedAuthor_Jiefu ChenAuthor_Shirui WangAuthor_Wenyi HuAuthor_Xuqing Wuautomatic-updateCategory1=Non-FictionCategory=PHVGCategory=THRCategory=UNCategory=UNFCategory=UYQECategory=UYTCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€100 and abovePS=Forthcomingsoftlaunch

Will deliver when available. Publication date 05 Jan 2025

Product Details
  • Dimensions: 178 x 254mm
  • Publication Date: 05 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031757440

About Jiefu ChenShirui WangWenyi HuXuqing Wu

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.    

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