Book contents
- Frontmatter
- Dedication
- Contents
- Preface
- Part I Seismic Theory Background
- Part II Deterministic Digital Signal Processing for Seismic Data
- 3 Spectral Analysis of Seismic Data and Useful Transforms
- 4 Sampling Theorem for Seismic Data
- 5 Seismic Applications of Digital Filtering Theory
- Part III Statistical Digital Signal Processing for Seismic Data
- References
- Index
5 - Seismic Applications of Digital Filtering Theory
from Part II - Deterministic 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
- 3 Spectral Analysis of Seismic Data and Useful Transforms
- 4 Sampling Theorem for Seismic Data
- 5 Seismic Applications of Digital Filtering Theory
- Part III Statistical Digital Signal Processing for Seismic Data
- References
- Index
Summary
Seismic applications of digital filtering theory are presented in this chapter. 1-D FIR and/or IIR digital filters, such as low-pass or band-pass, are used heavily to enhance the signal-to-noise (SNR) ratio of acquired seismic data. Furthermore, 2-D digital filters like fan filters have become standard in removal of surface waves accompanying seismic data records. Solving the wave equation numerically may also require using FIR or IIR digital filters such as the explicit depth wavefield extrapolation filters.
Keywords
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- Information
- Advanced Digital Signal Processing of Seismic Data , pp. 221 - 270Publisher: Cambridge University PressPrint publication year: 2020