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Seismic Data Interpretation Using Digital Image Processing.

By: Material type: TextTextSeries: New York Academy of Sciences SeriesPublisher: Newark : John Wiley & Sons, Incorporated, 2017Copyright date: ©2017Edition: 1st edDescription: 1 online resource (233 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781118881804
Subject(s): Genre/Form: Additional physical formats: Print version:: Seismic Data Interpretation Using Digital Image ProcessingDDC classification:
  • 551.22028699999998
LOC classification:
  • TN269.84 .A474 2017
Online resources:
Contents:
Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Chapter 1 Introduction -- 1.1 Image Processing of Exploration Seismic Data -- 1.2 Exploration Seismic Data: From Acquisition to Interpretation -- 1.2.1 Seismic Data Acquisition -- 1.2.2 Seismic Data Processing -- 1.2.3 Seismic Data Interpretation -- 1.3 The Seismic Convolution Model -- 1.4 Summary -- Chapter 2 Seismic Data Interpretation -- 2.1 Introduction -- 2.2 Structural Features -- 2.2.1 Faults -- 2.2.2 Folds -- 2.2.3 Diapirs -- 2.3 Stratigraphic Features -- 2.3.1 Channels -- 2.3.2 Reefs -- 2.3.3 Truncation -- 2.4 Seismic Interpretation Tools -- 2.4.1 Seismic Sequence Stratigraphy -- 2.4.2 Seismic Facies Analysis -- 2.4.3 Direct Hydrocarbon Indicators -- 2.4.4 Tying Seismic and Well Data -- 2.4.5 Seismic Modeling -- 2.4.6 Time-to-Depth Conversion -- 2.4.7 Seismic Attributes -- 2.5 Pitfalls in Seismic Interpretation -- 2.6 Summary -- 2.7 Problems and Computer Assignments -- Chapter 3 Seismic Image Enhancement in the Spatial Domain -- 3.1 Introduction -- 3.1.1 The Mean (Running-Average) Filter -- 3.2 The Median Filter -- 3.3 The Edge-Preserving Smoothing Algorithm -- 3.3.1 Two-Dimensional Structure-Preserving Smoothing -- 3.4 Wavelet-Based Smoothing -- 3.4.1 Method -- 3.4.2 Sharpening Filter -- 3.5 Summary -- 3.6 Problems and Computer Assignments -- Chapter 4 Seismic Image Enhancement in the Spectral Domain -- 4.1 Introduction -- 4.2 The Fourier Transform -- 4.3 Filtering in the Spectral Domain -- 4.4 Spectral Attributes -- 4.5 Summary -- 4.6 Problems and Computer Assignments -- Chapter 5 Seismic Attributes -- 5.1 Introduction -- 5.2 Detection of Interesting Regions from Time or Depth Three-Dimensional Slices using Seismic Attributes -- 5.3 Two-Dimensional Numerical Gradient Edge-Detector Operators -- 5.4 Application to Real Seismic Data.
5.5 Two-Dimensional Second-Order Derivative Operator -- 5.5.1 The Coherence Attribute -- 5.5.2 The Dip Attribute -- 5.6 The Curvature Attribute -- 5.7 Curvature of the Surface -- 5.7.1 Curve, Velocity, and Curvature -- 5.7.2 Surface, Tangent Plane, and Norm -- 5.8 Shape Operator, Normal Curvature, and Principal Curvature -- 5.8.1 Normal Curvature -- 5.8.2 Shape Operator -- 5.8.3 The Principal Curvatures -- 5.8.4 Calculation of the Principal Curvatures -- 5.8.5 Summary of Calculation of Principal Curvature for a Surface -- 5.9 The Randomness Attribute -- 5.10 Technique for Two-Dimensional Images -- 5.10.1 Problem Statement and Preliminaries -- 5.10.2 Review of Fast Noise Variance Estimation Algorithm -- 5.10.3 Design Mask by Constrained Optimization -- 5.11 The Spectral Decomposition Attribute -- 5.12 Summary -- 5.13 Problems and Computer Assignments -- Chapter 6 Color Display of Seismic Images -- 6.1 Introduction -- 6.2 Color Models and Useful Color Bars -- 6.2.1 The RGB Model -- 6.2.2 The CMY Model -- 6.2.3 The HSI Model -- 6.2.4 Useful Color Bars -- 6.3 Overlay and Mixed Displays of Seismic Attribute Images -- 6.4 Summary -- 6.5 Problems and Computer Assignments -- Chapter 7 Seismic Image Segmentation -- 7.1 Introduction -- 7.2 Basic Seismic Image Segmentation -- 7.3 Advanced Seismic Image Segmentation -- 7.3.1 Color-Based Segmentation -- 7.3.1.1 The Imposed Constraints for the POCS Color Segmentation Method -- 7.3.2 Graph-Based Segmentation -- 7.4 Automatic Fault Extraction -- 7.5 Summary -- Glossary -- References -- Index -- Supplemental Images -- EULA.
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Cover -- Title Page -- Copyright -- Contents -- Foreword -- Preface -- Chapter 1 Introduction -- 1.1 Image Processing of Exploration Seismic Data -- 1.2 Exploration Seismic Data: From Acquisition to Interpretation -- 1.2.1 Seismic Data Acquisition -- 1.2.2 Seismic Data Processing -- 1.2.3 Seismic Data Interpretation -- 1.3 The Seismic Convolution Model -- 1.4 Summary -- Chapter 2 Seismic Data Interpretation -- 2.1 Introduction -- 2.2 Structural Features -- 2.2.1 Faults -- 2.2.2 Folds -- 2.2.3 Diapirs -- 2.3 Stratigraphic Features -- 2.3.1 Channels -- 2.3.2 Reefs -- 2.3.3 Truncation -- 2.4 Seismic Interpretation Tools -- 2.4.1 Seismic Sequence Stratigraphy -- 2.4.2 Seismic Facies Analysis -- 2.4.3 Direct Hydrocarbon Indicators -- 2.4.4 Tying Seismic and Well Data -- 2.4.5 Seismic Modeling -- 2.4.6 Time-to-Depth Conversion -- 2.4.7 Seismic Attributes -- 2.5 Pitfalls in Seismic Interpretation -- 2.6 Summary -- 2.7 Problems and Computer Assignments -- Chapter 3 Seismic Image Enhancement in the Spatial Domain -- 3.1 Introduction -- 3.1.1 The Mean (Running-Average) Filter -- 3.2 The Median Filter -- 3.3 The Edge-Preserving Smoothing Algorithm -- 3.3.1 Two-Dimensional Structure-Preserving Smoothing -- 3.4 Wavelet-Based Smoothing -- 3.4.1 Method -- 3.4.2 Sharpening Filter -- 3.5 Summary -- 3.6 Problems and Computer Assignments -- Chapter 4 Seismic Image Enhancement in the Spectral Domain -- 4.1 Introduction -- 4.2 The Fourier Transform -- 4.3 Filtering in the Spectral Domain -- 4.4 Spectral Attributes -- 4.5 Summary -- 4.6 Problems and Computer Assignments -- Chapter 5 Seismic Attributes -- 5.1 Introduction -- 5.2 Detection of Interesting Regions from Time or Depth Three-Dimensional Slices using Seismic Attributes -- 5.3 Two-Dimensional Numerical Gradient Edge-Detector Operators -- 5.4 Application to Real Seismic Data.

5.5 Two-Dimensional Second-Order Derivative Operator -- 5.5.1 The Coherence Attribute -- 5.5.2 The Dip Attribute -- 5.6 The Curvature Attribute -- 5.7 Curvature of the Surface -- 5.7.1 Curve, Velocity, and Curvature -- 5.7.2 Surface, Tangent Plane, and Norm -- 5.8 Shape Operator, Normal Curvature, and Principal Curvature -- 5.8.1 Normal Curvature -- 5.8.2 Shape Operator -- 5.8.3 The Principal Curvatures -- 5.8.4 Calculation of the Principal Curvatures -- 5.8.5 Summary of Calculation of Principal Curvature for a Surface -- 5.9 The Randomness Attribute -- 5.10 Technique for Two-Dimensional Images -- 5.10.1 Problem Statement and Preliminaries -- 5.10.2 Review of Fast Noise Variance Estimation Algorithm -- 5.10.3 Design Mask by Constrained Optimization -- 5.11 The Spectral Decomposition Attribute -- 5.12 Summary -- 5.13 Problems and Computer Assignments -- Chapter 6 Color Display of Seismic Images -- 6.1 Introduction -- 6.2 Color Models and Useful Color Bars -- 6.2.1 The RGB Model -- 6.2.2 The CMY Model -- 6.2.3 The HSI Model -- 6.2.4 Useful Color Bars -- 6.3 Overlay and Mixed Displays of Seismic Attribute Images -- 6.4 Summary -- 6.5 Problems and Computer Assignments -- Chapter 7 Seismic Image Segmentation -- 7.1 Introduction -- 7.2 Basic Seismic Image Segmentation -- 7.3 Advanced Seismic Image Segmentation -- 7.3.1 Color-Based Segmentation -- 7.3.1.1 The Imposed Constraints for the POCS Color Segmentation Method -- 7.3.2 Graph-Based Segmentation -- 7.4 Automatic Fault Extraction -- 7.5 Summary -- Glossary -- References -- Index -- Supplemental Images -- EULA.

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Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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