Coding and Decoding: Seismic Data Coding and Decoding: Seismic Data

Coding and Decoding: Seismic Data

The Concept of Multishooting

    • $179.99
    • $179.99

Publisher Description

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

GENRE
Science & Nature
RELEASED
2017
December 7
LANGUAGE
EN
English
LENGTH
718
Pages
PUBLISHER
Elsevier
SELLER
Elsevier Ltd.
SIZE
244.8
MB
Information-Based Inversion and Processing with Applications Information-Based Inversion and Processing with Applications
2005
Monte Carlo Methods Monte Carlo Methods
2020
Mathematical Models, Methods and Applications Mathematical Models, Methods and Applications
2015
Monte Carlo and Quasi-Monte Carlo Methods Monte Carlo and Quasi-Monte Carlo Methods
2022
Environmental Data Analysis with MatLab Environmental Data Analysis with MatLab
2016
Exploring Monte Carlo Methods Exploring Monte Carlo Methods
2022