R. K. Tiwari, R. Rekapalli

Modern Singular Spectral-Based Denoising and Filtering Techniques for 2D and 3D Reflection Seismic Data (eBook, PDF)

• Format: PDF

Produktbeschreibung

Presents a complete reference for singular spectrum analysis (SSA)-based seismic data processing

Enriches the understanding of SSA frequency filtering seismic data

Explains the importance of data adaptive processing strategy for seismic data

Provides a complete reference for time domain SSA signal processing techniques

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 157
• Erscheinungstermin: 25. März 2020
• Englisch
• ISBN-13: 9783030193041
• Artikelnr.: 58933443

Autorenporträt

Dr. R.K. Tiwari, Chief Scientist (Retd.) is currently a Raja Ramanna Fellow at the National Geophysical Research Institute (NGRI), Hyderabad, India, where he is working on seismic curvature attribute studies. He is an expert on the theoretical modelling of non-linear geophysical processes, geophysical time series analysis, chaos and fractals. He has authored/co-authored more than 160 widely cited scientific papers in national and international journals. He has also published the book 'Geospectroscopy', which discusses the periodicities on multilateral scales in earth system processes. He served as the first coordinator of the Academy of Scientific and Innovative Research (AcSIR) CSIR-NGRI for PhD courses from 2011 to 2016. For his outstanding contributions in the field of earth sciences, he was awarded the prestigious IGU Krishnan Gold Medal (1987), National Mineral Award of Department of Mines, Government of India (2006) and the IGU Decennial Award (2009). He also received the Platinum Jubilee Lecture Award at the 95th Indian Science Congress (ISC). He is a fellow of Indian Geophysical Union and a member of the Association of Exploration Geophysicists (AEG).

Dr. R. Rekapalli is a Senior Research Associate at the National Geophysical Research Institute, Hyderabad, India. As a theoretical geophysicist, he is working on the modelling of geophysical processes, geophysical signal processing as well as development and application of advanced methods for artefact-free geophysical data processing. He has developed several singular spectrum-based algorithms for 1D, 2D and 3D seismic data analysis. He received the Indian Geophysical Union's Dr. J.G. Negi Young Scientist award (2018) in recognition to his research related to geophysical signal processing. He has authored/co-authored 26 papers in peer-reviewed national and international journals.

Inhaltsangabe

1. Introduction to Denoising and Data Gap Filling of Seismic Reflection Data.- 2. Time and Frequency Domain Eigen Image and Cadzow Noise Filtering of 2D Seismic Data.- 3. Time Domain Frequency Filtering of High Resolution Seismic Reflection Data Using Singular Spectral Analysis.- 4. Frequency and Time Domain SSA for 2D Seismic Data Denoising.- 5. Filtering 2D Seismic Data Using the Time Slice Singular Spectral Analysis.- 6. Robust and Fast Algorithms for Singular Spectral Analysis of Seismic Data.- 7. Denoising the 3D Seismic Data Using Multichannel Singular Spectrum Analysis.- 8. Seismic Data Gap Filling Using the Singular Spectrum Based Analysis.- 9. Singular Spectrum vs. Wavelet Based Denoising Schemes in Generalized Inversion Based Seismic Wavelet Estimation.- 10. Singular Spectrum-based Filtering to Enhance the Resolution of Seismic Attributes.- 11. Singular Spectrum Analysis with MATLAB.- Appendix.- Index.