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Seismic Data Interpretation using Digital Image Processing /
Seismic Data Interpretation using Digital Image Processing Abdullatif A. Al-Shuhail and Wail A. Mousa, King Fahd University of Petroleum & Minerals (KFUPM), Saudi Arabia Saleh A.
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Wiley,
2017.
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| Edición: | 1st |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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 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.
- 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.
- 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.
- 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.