S. P. Maurya,N. P. Singh,K. H. Singh
Seismic Inversion Methods: A Practical Approach
Seismic Inversion Methods: A Practical Approach
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Seismic inversion methods are used to estimate subsurface attributes from seismic and well log data, helping to understand lithology and fluid contents. This book covers popular inversion methods, discusses their mathematical backgrounds, and demonstrates their capacity to extract information from seismic reflection data. It also describes local and global optimization methods and their application to seismic reflection data, making it a valuable tool for students and young professionals in the oil industry.
Format: Paperback / softback
Length: 216 pages
Publication date: 29 May 2021
Publisher: Springer Nature Switzerland AG
This comprehensive book delves into the realm of seismic inversion methods, presenting them to readers and elucidating their application to both synthetic and real seismic data sets. Seismic inversion techniques are widely employed to estimate a range of attributes, including P-impedance, S-impedance, density, the ratio of P-wave and S-wave velocities, and elastic impedances, derived from seismic and well log data. These attributes hold immense significance in understanding the lithology and fluid contents of the subsurface. While a multitude of seismic inversion methods exist, their utilization and outcomes can vary significantly, leading to confusion among practitioners. This book aims to alleviate such confusion by comprehensively explaining all popular inversion methods, delving into their mathematical foundations, and showcasing their ability to extract valuable information from seismic reflection data. The types of inversion methods covered in this text encompass 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. Furthermore, the book explores local and global optimization methods and their practical application to seismic reflection data.
Given its multidisciplinary, integrated, and practical approach, this book serves as a valuable resource for students and young professionals, particularly those affiliated with oil companies. By providing a comprehensive understanding of seismic inversion methods and their practical applications, it equips readers with the tools necessary to navigate the complexities of subsurface exploration and interpretation.
Weight: 454g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030456641
Edition number: 1st ed. 2020
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