Comparison Of Seismic Inversion Methods On A Single Real Data Set
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Comparison Of Seismic Inversion Methods On A Single Real Data Set
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Author : Robert G. Keys
language : en
Publisher: SEG Books
Release Date : 1998
Comparison Of Seismic Inversion Methods On A Single Real Data Set written by Robert G. Keys and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Science categories.
Comparison Of Seismic Inversion Methods On A Single Real Data Set
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Author :
language : en
Publisher:
Release Date : 1998
Comparison Of Seismic Inversion Methods On A Single Real Data Set written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Geophysics categories.
Interpretation Of Three Dimensional Seismic Data Seventh Edition
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Author : Alistair R. Brown
language : en
Publisher: AAPG
Release Date : 2011-08-20
Interpretation Of Three Dimensional Seismic Data Seventh Edition written by Alistair R. Brown and has been published by AAPG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-08-20 with Science categories.
Hardcover plus DVD
Deep Learning For Seismic Data Enhancement And Representation
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Author : Shirui Wang
language : en
Publisher: Springer Nature
Release Date : 2024-12-18
Deep Learning For Seismic Data Enhancement And Representation written by Shirui Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-18 with Science categories.
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.
Journal Of Seismic Exploration
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Author :
language : en
Publisher:
Release Date : 1997
Journal Of Seismic Exploration written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Seismic prospecting categories.
Siam Journal On Scientific Computing
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Author :
language : en
Publisher:
Release Date : 2002
Siam Journal On Scientific Computing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Electronic data processing categories.
Fine Grained Turbidite Systems
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Author : Arnold H. Bouma
language : en
Publisher: AAPG
Release Date : 2000-04-25
Fine Grained Turbidite Systems written by Arnold H. Bouma and has been published by AAPG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-25 with Science categories.
Accompanying CD-ROM includes additional illustrations and material.
Seismic Inversion
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Author : Yanghua Wang
language : en
Publisher: John Wiley & Sons
Release Date : 2016-10-31
Seismic Inversion written by Yanghua Wang and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-10-31 with Science categories.
Seismic inversion aims to reconstruct a quantitative model of the Earth subsurface, by solving an inverse problem based on seismic measurements. There are at least three fundamental issues to be solved simultaneously: non-linearity, non-uniqueness, and instability. This book covers the basic theory and techniques used in seismic inversion, corresponding to these three issues, emphasising the physical interpretation of theoretical concepts and practical solutions. This book is written for master and doctoral students who need to understand the mathematical tools and the engineering aspects of the inverse problem needed to obtain geophysically meaningful solutions. Building on the basic theory of linear inverse problems, the methodologies of seismic inversion are explained in detail, including ray-impedance inversion and waveform tomography etc. The application methodologies are categorised into convolutional and wave-equation based groups. This systematic presentation simplifies the subject and enables an in-depth understanding of seismic inversion. This book also provides a practical guide to reservoir geophysicists who are attempting quantitative reservoir characterisation based on seismic data. Philosophically, the seismic inverse problem allows for a range of possible solutions, but the techniques described herein enable geophysicists to exclude models that cannot satisfy the available data. This book summarises the author’s extensive experience in both industry and academia and includes innovative techniques not previously published.
Introduction To Seismic Inversion Methods
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Author : Brian H. Russell
language : en
Publisher: SEG Books
Release Date : 1988
Introduction To Seismic Inversion Methods written by Brian H. Russell and has been published by SEG Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 1988 with Science categories.
An overview of the current techniques used in the inversion of seismic data is provided. Inversion is defined as mapping the physical structure and properties of the subsurface of the earth using measurements made on the surface, creating a model of the earth using seismic data as input.
Seismic Inversion Methods A Practical Approach
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Author : S. P. Maurya
language : en
Publisher: Springer Nature
Release Date : 2020-05-28
Seismic Inversion Methods A Practical Approach written by S. P. Maurya and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-28 with Science categories.
This book introduces readers to seismic inversion methods and their application to both synthetic and real seismic data sets. Seismic inversion methods are routinely used to estimate attributes like P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities and elastic impedances from seismic and well log data. These attributes help to understand lithology and fluid contents in the subsurface. There are several seismic inversion methods available, but their application and results differ considerably, which can lead to confusion. This book explains all popular inversion methods, discusses their mathematical backgrounds, and demonstrates their capacity to extract information from seismic reflection data. The types covered include model-based inversion, colored inversion, sparse spike inversion, band-limited inversion, simultaneous inversion, elastic impedance inversion and geostatistical inversion, which includes single-attribute analysis, multi-attribute analysis, probabilistic neural networks and multi-layer feed-forward neural networks. In addition, the book describes local and global optimization methods and their application to seismic reflection data. Given its multidisciplinary, integrated and practical approach, the book offers a valuable tool for students and young professionals, especially those affiliated with oil companies.