Modern singular spectral-based denoising and filtering techniques for 2D and 3D reflection seismic data. ([2020])

• Record Type: Book
• Further Information: Note: R. K. Tiwari, R. Rekapalli.
• Authors: Tiwari, R. K; Rekapalli, R
• Contents: Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- Chapter 1: Introduction to Denoising and Data Gap Filling of Seismic Reflection Data -- 1.1 Introduction -- 1.2 General Classification of Noise in Seismic Data -- 1.2.1 Random Noise -- 1.2.2 Coherent Noise -- 1.3 Noise Suppression Methods Used in the Seismic Data Processing -- 1.4 Data Gap Filling -- 1.5 Singular Spectrum Analysis -- 1.6 SSA Methods for Seismic Data -- 1.7 Skeleton of the Book -- Chapter 2: Time and Frequency Domain Eigen Image and Cadzow Noise Filtering of 2D Seismic Data -- 2.1 Introduction 2.2 Time Domain Eigen Image Processing -- 2.2.1 Example 1 -- 2.2.2 Example 2 -- 2.3 Frequency Domain Eigen Image Processing -- 2.3.1 Example 3 -- 2.4 Time and Frequency Domain Cadzow Filters -- 2.4.1 Pseudo Code of Time Domain Cadzow Filter -- 2.4.2 Pseudo Code of Frequency Domain Cadzow Filter -- 2.4.3 Example 4 -- 2.5 Conclusion -- Chapter 3: Singular Spectrum Analysis-Based Time Domain Frequency Filtering -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Data Analysis -- 3.3.1 Example of Testing on Synthetic Data -- 3.3.2 Application to Reflection Field Data 3.4 Grouping from Weighted Eigen Spectrogram (WES) -- 3.5 Conclusion -- Chapter 4: Frequency and Time Domain SSA for 2D Seismic Data Denoising -- 4.1 Introduction -- 4.2 Methodological Description -- 4.2.1 FXSSA/Fxy Eigen Image Pseudo Code -- 4.2.2 TXSSA Pseudo Code -- 4.3 Example 1: F-xy Eigen Image Noise Suppression (Trickett 2003) -- 4.4 Example 2: Comparison of FXSSA Denoising with f-x Deconvolution (After Sacchi 2009) -- 4.5 Example 3: FXSSA Denoising of Synthetic Data in Comparison with TXSSA Method -- 4.6 Conclusion Chapter 5: Filtering 2D Seismic Data Using the Time Slice Singular Spectral Analysis -- 5.1 Introduction -- 5.2 Example of Crustal Stratification -- 5.3 Time Slice Singular Spectrum Analysis (TSSSA) Methodology -- 5.4 Selection of Window Length and Triplet Group -- 5.5 Application to Synthetic Data -- 5.6 Application of TSSSA and FXSSA on Pre and Post Stack Seismic Field Data -- 5.7 Application of the Method on Seismic Field Data from Singareni Coal Field, Telangana, India -- 5.8 Conclusion -- Chapter 6: Robust and Fast Algorithms for Singular Spectral Analysis of Seismic Data -- 6.1 Introduction 6.2 Optimized SSA Method -- 6.2.1 Methodology -- 6.2.2 Coloured Noise Suppression Using Optimized SSA -- 6.3 Factorized Hankel SVD -- 6.3.1 Methodology -- 6.3.2 Testing on Synthetic Data -- 6.3.3 Low Frequency Preservation in Factorized Hankel Method -- 6.3.4 Computational Efficiency -- 6.3.5 Application of the Method to Post Stack Seismic Data -- 6.4 Randomized SVD (R-SVD) -- 6.4.1 Methodology/Algorithm -- 6.4.2 Application of R-SVD to Seismic Data -- 6.5 Windowed SSA -- 6.5.1 Methodology -- 6.5.2 Application to a Seismic Reflection Trace -- 6.6 Conclusion.
• Publisher Details: Cham, Switzerland New Delhi, India : Springer Capital Publishing
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource
• Subjects: 551.22; Seismology -- Data processing; Seismic reflection method; Microseisms; Spectrum analysis; Electronic books
• Languages: English
• ISBNs: 3030193047; 9783030193041
• Notes: Note: Includes bibliographical references and index.; Note: Description based on print version record.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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