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Informationen zum Autor By Luc T. Ikelle! Texas A & M University! College Station! USA Klappentext Currently! the acquisition of seismic surveys is performed as a sequential operation in which shots are computed separately! one after the other. The concept of the multishooting approach illustrates that several shots can be generated from several locations and at different time intervals simultaneously. This approach is similar to that of multiple-access technology! which is widely used in cellular communications to allow several subscribers to share the same telephone line. The cost of performing various shots simultaneously is almost identical to that of one shot; thus! the savings in time and money expected from using the multishooting approach for computing seismic surveys compared to the current approach are enormous. By using this approach! the long-standing problem of simulating a three-dimensional seismic survey can be reduced to a matter of weeks and not years! as is currently the case. This book investigates how to collect! stimulate! and process multishooting data. Zusammenfassung The concept of the multishooting approach illustrates that several shots can be generated from several locations and at different time intervals simultaneously. This book investigates how to collect! stimulate! and process multishooting data! as well as address what improvements in seismic characterization and resolution one can expect. Inhaltsverzeichnis 1. Introduction to multishooting. 2. Some decoding approaches for known models of the subsurface. 3. Application of decoding to the simulation of 3D seismic surveys. 4. Decoding methods for unknown models of the subsurface. 5. Processing of undecoded multishoot data: multiple attenuation. 6. Imaging of undecoded multishoot data. 7. Identification and characterization of nonlinear elastic effects using multishoot data.
List of contents
1. Introduction to multishooting: Challanges and rewards
2. Mathematics of statistical decoding: Instantaneous mixtures
3. Mathematics of statistical decoding: Convolutive mixtures
4. Decoding methods for undertermined mixtures
5. Modelng and imaging of multishot data
Appendix A. Nonnegative matrix factorization
Appendix B. Nonnegative tensor factorization
Appendix C. A review of 3D finite-difference modeling
