This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB™. The step-by-step demo of the full reflection seismic data processing workflow using a complete real seismic data set places itself as a very useful feature of the book. This is especially true when students are performing their projects, and when professors and researchers are testing their new developed algorithms in MATLAB™ for processing seismic data. The book provides the basic seismic and signal processing theory required for each chapter and shows how to process the data from raw field records to a final image of the subsurface all using MATLAB™. The MATLAB™ codes and seismic data can be downloaded here. Table of Contents: Seismic Data Processing: A Quick Overview / Examination of A Real Seismic Data Set / Quality Control of Real Seismic Data / Seismic Noise Attenuation / Seismic Deconvolution / Carrying the Processing Forward / Static Corrections / Seismic Migration / Concluding Remarks
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Wail A. Mousa holds two B.S. with honors in electrical engineering and mathematical sciences and an M.S. in electrical engineering from KFUPM. Wail was the first Saudi to be sponsored by Schlumberger Dhahran Carbonate Research (SDCR) for a Ph.D., which he obtained at the School of Electronics & Electrical Engineering at the University of Leeds in 2006. He was a graduate assistant at KFUPM and then promoted to lecturer between 2000-2003. Wail then worked between 2003-2009 as a research scientist on applied signal processing for geology and geophysics at the SDCR. He is currently working as an assistant professor in the Electrical Engineering Department, King Fahd University of Petroleum & Minerals (KFUPM), teaching various signal and image processing courses and supervising students. Wail is an active researcher and publishes regularly where his research interests include: digital signal, image, and video processing and their applications in geophysics, geology as well as petro-physics, design & implementation of digital filters including wavefield extrapolation filters, image segmentation, pattern recognition and classification and their applications related to geophysical and geological data, signal and image compression. More recently, he published his first patent in the US patent and trade office. He was additionally appointed as the director of business development at KFUPM as of February 2010. He is a member of many international and local professional organizations. In late 2006, he represented both Saudi Arabia in the inaugural World Petroleum Council-Youth Committee (WPC-YC) and in early 2007, he became the vice chair of the WPC-YC, where he has been chairman since June 2008. Dr. Mousa has received many awards of special honor including a letter of distinction from the CEO of Schlumberger in 2008 due to his technical contributions to the company since he joined them after his PhD. Wail A. Mousa holds two B.S. with honors in electrical engineering and mathematical sciences and an M.S. in electrical engineering from KFUPM. Wail was the first Saudi to be sponsored by Schlumberger Dhahran Carbonate Research (SDCR) for a Ph.D., which he obtained at the School of Electronics & Electrical Engineering at the University of Leeds in 2006. He was a graduate assistant at KFUPM and then promoted to lecturer between 2000-2003. Wail then worked between 2003-2009 as a research scientist on applied signal processing for geology and geophysics at the SDCR. He is currently working as an assistant professor in the Electrical Engineering Department, King Fahd University of Petroleum & Minerals (KFUPM), teaching various signal and image processing courses and supervising students. Wail is an active researcher and publishes regularly where his research interests include: digital signal, image, and video processing and their applications in geophysics, geology as well as petro-physics, design & implementation of digital filters including wavefield extrapolation filters, image segmentation, pattern recognition and classification and their applications related to geophysical and geological data, signal and image compression. More recently, he published his first patent in the US patent and trade office. He was additionally appointed as the director of business development at KFUPM as of February 2010. He is a member of many international and local professional organizations. In late 2006, he represented both Saudi Arabia in the inaugural World Petroleum Council-Youth Committee (WPC-YC) and in early 2007, he became the vice chair of the WPC-YC, where he has been chairman since June 2008. Dr. Mousa has received many awards of special honor including a letter of distinction from the CEO of Schlumberger in 2008 due to his technical contributions to the company since he joined them after his PhD.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Wail A. Mousa holds two B.S. with honors in electrical engineering and mathematical sciences and an M.S. in electrical engineering from KFUPM. Wail was the first Saudi to be sponsored by Schlumberger Dhahran Carbonate Research (SDCR) for a Ph.D., which he o. N° de réf. du vendeur 608129582
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB(TM). The step-by-step demo of the full reflection seismic data processing workflow using a complete real seismic data set places itself as a very useful feature of the book. This is especially true when students are performing their projects, and when professors and researchers are testing their new developed algorithms in MATLAB(TM) for processing seismic data. The book provides the basic seismic and signal processing theory required for each chapter and shows how to process the data from raw field records to a final image of the subsurface all using MATLAB(TM). The MATLAB(TM) codes and seismic data can be downloaded here.Table of Contents: Seismic Data Processing: A Quick Overview / Examination of A Real Seismic Data Set / Quality Control of Real Seismic Data / Seismic Noise Attenuation / Seismic Deconvolution / Carrying the Processing Forward / Static Corrections / Seismic Migration / Concluding Remarks. N° de réf. du vendeur 9783031014062
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB(TM). The step-by-step demo of the full reflection seismic data processing workflow using a complete real seismic data set places itself as a very useful feature of the book. This is especially true when students are performing their projects, and when professors and researchers are testing their new developed algorithms in MATLAB(TM) for processing seismic data. The book provides the basic seismic and signal processing theory required for each chapter and shows how to process the data from raw field records to a final image of the subsurface all using MATLAB(TM). The MATLAB(TM) codes and seismic data can be downloaded here.Table of Contents: Seismic Data Processing: A Quick Overview / Examination of A Real Seismic Data Set / Quality Control of Real Seismic Data / Seismic Noise Attenuation / Seismic Deconvolution / Carrying the Processing Forward / Static Corrections / Seismic Migration / Concluding Remarks 100 pp. Englisch. N° de réf. du vendeur 9783031014062
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Taschenbuch. Etat : Neu. Neuware -This short book is for students, professors and professionals interested in signal processing of seismic data using MATLAB¿. The step-by-step demo of the full reflection seismic data processing workflow using a complete real seismic data set places itself as a very useful feature of the book. This is especially true when students are performing their projects, and when professors and researchers are testing their new developed algorithms in MATLAB¿ for processing seismic data. The book provides the basic seismic and signal processing theory required for each chapter and shows how to process the data from raw field records to a final image of the subsurface all using MATLAB¿. The MATLAB¿ codes and seismic data can be downloaded here.Table of Contents: Seismic Data Processing: A Quick Overview / Examination of A Real Seismic Data Set / Quality Control of Real Seismic Data / Seismic Noise Attenuation / Seismic Deconvolution / Carrying the Processing Forward / Static Corrections / Seismic Migration / Concluding RemarksSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 100 pp. Englisch. N° de réf. du vendeur 9783031014062
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