Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Part I Seismic Theory Background
- Part II Deterministic Digital Signal Processing for Seismic Data
- Part III Statistical Digital Signal Processing for Seismic Data
- 6 Fundamentals of Digital Optimal Filtering
- 7 Seismic Deconvolution
- 8 Seismic Wavelet Processing
- References
- Index
8 - Seismic Wavelet Processing
from Part III - Statistical Digital Signal Processing for Seismic Data
Published online by Cambridge University Press: 24 December 2019
- Frontmatter
- Dedication
- Contents
- Preface
- Part I Seismic Theory Background
- Part II Deterministic Digital Signal Processing for Seismic Data
- Part III Statistical Digital Signal Processing for Seismic Data
- 6 Fundamentals of Digital Optimal Filtering
- 7 Seismic Deconvolution
- 8 Seismic Wavelet Processing
- References
- Index
Summary
Seismic wavelets model so many signals, including seismic source signatures, and are a main part of the seismic convolution model. They can be classified in various types. This chapter discusses various types of wavelet and their importantce. Also, it presents seismic wavelet processing as a method to shape the seismic wavelet, i.e., reduce its effect on seismic data sets.
Keywords
- Type
- Chapter
- Information
- Advanced Digital Signal Processing of Seismic Data , pp. 298 - 312Publisher: Cambridge University PressPrint publication year: 2020