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Coding and Decoding: Seismic Data, Vol 1. Edition No. 2. Computational Geophysics

  • ID: 3947079
  • Book
  • December 2017
  • 718 Pages
  • Elsevier Science and Technology
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Coding and Decoding Seismic Data: The Concept of Multishooting, Volume One, Second Edition, offers a thorough investigation of modern techniques for collecting, simulating, and processing multishooting data. Currently, the acquisition of seismic surveys is performed as a sequential operation in which shots are computed separately, one after the other. The cost of performing various shots simultaneously is almost identical to that of one shot; thus, the benefits of using the multishooting approach for computing seismic surveys are enormous.

By using this approach, the longstanding problem of simulating a three-dimensional seismic survey can be reduced to a matter of weeks. Providing both theoretical and practical explanations of the multishooting approach, including case histories, this book is an essential resource for exploration geophysicists and practicing seismologists.

  • Investigates how to collect, stimulate, and process multishooting data
  • Addresses the improvements in seismic characterization and resolution that can be expected from multishooting data
  • Provides information for the oil and gas exploration and production business that will influence day-to-day surveying techniques
  • Covers robust decoding methods of undetermined mixtures, nonlinear decoding, the use of constraints in decoding processes, and nonlinear imaging of undecoded data
  • Includes access to a companion site with answers to questions posed in the book

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1. Introduction to Multishooting: Challanges and Rewards 2. Mathematics of Statistical Decoding: Linear Instantaneous Mixtures 3. Mathematics of statistical decoding: Nonlinear Instantaneous Mixtures 4. Mathematics of Statistical Decoding: Convolutive Mixtures 5. The Decoding and Demultiple of Instantaneous Mixtures 6. Decoding Methods for Underdetermined Convolutive Mixtures 7. Imaging of Multishot Data 8. Case Histories

Appendix A. Nonnegative matrix factorization Appendix B. Nonnegative tensor factorization Appendix C. A review of 3D finite-difference modeling Appendix D. Wave Propagation

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Ikelle, Luc T.
Dr. Luc Ikelle is a Professor in Geology and Geophysics at Texas A&M University. He received his PhD in Geophysics from Paris 7 University in 1986 and has sense cultivated expertise in: seismic data acquisition, modeling, processing, and interpretation for conventional and unconventional energy production; inverse problem theory, signal processing, linear and nonlinear elastic wave propagation, linear and nonlinear optics, and continuum and fracture mechanics. His research interests include a combined analysis of petroleum systems, earthquakes, and volcanic eruptions based on geology, geophysics, statistical modeling, and control theory.

He is a founding member of Geoscientists Without Borders, for which he received an award from SEG in 2010. He is a member of the editorial board of the Journal of Seismic Exploration and has published 107 refereed publications in international journals.

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