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7 - Seismic Deconvolution

from Part III - Statistical Digital Signal Processing for Seismic Data

Published online by Cambridge University Press:  24 December 2019

Wail A. Mousa
Affiliation:
King Fahd University of Petroleum and Minerals, Saudi Arabia
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Summary

Seismic deconvolution is at the heart of seismic data processing. Deconvolution can be done determinsitically, via optimum filtering in time or in other domians. This chapter discusses the principles of seismic deconvolution and shows various techniques with examples.

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Publisher: Cambridge University Press
Print publication year: 2020

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  • Seismic Deconvolution
  • Wail A. Mousa, King Fahd University of Petroleum and Minerals, Saudi Arabia
  • Book: Advanced Digital Signal Processing of Seismic Data
  • Online publication: 24 December 2019
  • Chapter DOI: https://doi.org/10.1017/9781139626286.011
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To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Seismic Deconvolution
  • Wail A. Mousa, King Fahd University of Petroleum and Minerals, Saudi Arabia
  • Book: Advanced Digital Signal Processing of Seismic Data
  • Online publication: 24 December 2019
  • Chapter DOI: https://doi.org/10.1017/9781139626286.011
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Seismic Deconvolution
  • Wail A. Mousa, King Fahd University of Petroleum and Minerals, Saudi Arabia
  • Book: Advanced Digital Signal Processing of Seismic Data
  • Online publication: 24 December 2019
  • Chapter DOI: https://doi.org/10.1017/9781139626286.011
Available formats
×