| Description |
1 online resource |
| Series |
Engineering professional collection |
| 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 |
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2.4.1 Seismic Sequence Stratigraphy2.4.2 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 |
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3.4.2 Sharpening Filter3.5 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 |
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5.10.1 Problem Statement and Preliminaries5.10.2 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 |
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5.5 Two-Dimensional Second-Order Derivative Operator5.5.1 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 |
| Summary |
Bridging the gap between modern image processing practices by the scientific community at large and the world of geology and reflection seismology This book covers the basics of seismic exploration, with a focus on image processing techniques as applied to seismic data. Discussions of theories, concepts, and algorithms are followed by synthetic and real data examples to provide the reader with a practical understanding of the image processing technique and to enable the reader to apply these techniques to seismic data. The book will also help readers interested in devising new algorithms, software and hardware for interpreting seismic data. Key Features: -Provides an easy to understand overview of popular seismic processing and interpretation techniques from the point of view of a digital signal processor.-Presents image processing concepts that may be readily applied directly to seismic data.-Includes ready-to-run MATLAB algorithms for most of the techniques presented. The book includes essential research and teaching material for digital signal and image processing individuals interested in learning seismic data interpretation from the point of view of digital signal processing. It is an ideal resource for students, professors and working professionals who are interested in learning about the application of digital signal processing theory and algorithms to seismic data |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from digital title page (viewed on August 07, 2017) |
| Subject |
Image processing -- Digital techniques.
|
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Petroleum -- Prospecting -- Data processing.
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Seismic reflection method.
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| Form |
Electronic book
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| Author |
Al-Dossary, Saleh A., 1965- author
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Mousa, Wail Abdul-Hakim, author
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| LC no. |
2017008974 |
| ISBN |
1118881796 (electronic bk.) |
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111888180X (electronic bk.) |
|
1118881834 (electronic bk.) |
|
1119125596 (electronic bk.) |
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9781118881798 (electronic bk.) |
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9781118881804 (electronic bk.) |
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9781118881835 (electronic bk.) |
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9781119125594 (electronic bk.) |
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(hardcover) |
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