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Contents
Contents
abstractAbstract
Contents
List of Figures
List of Tables
Introduction and Overview
Chapter 2: Least-squares Migration of Multisource Data with a Deblurring Filter
Chapter 3: Plane-wave Least-squares Reverse Time Migration
Chapter 4: Reverse Time Migration of Prism Waves for Salt Flank Delineation
Technical Contributions in this Dissertation
Least-squares Migration of Multisource Data with a Deblurring Filter
Introduction
Blended Sources Processing
Crosstalk Noise Reduction
Scope of This Chapter
Theory
Multisource Migration
Multisource Least-squares Migration (MLSM)
Numerical Implementation
Signal-to-noise Ratio Analysis
Numerical Results
Conventional Sources Least-squares Migration and Deblurring
Multisource Least-squares Migration
Dynamic Encoding vs Static Encoding
Computational Cost
Conclusions
Plane-wave Least-squares Reverse Time Migration
Introduction
Theory
Least-squares Migration
Plane-wave prestack LSRTM
Numerical results
Synthetic Example: Marmousi2 Data with a Fixed Spread Survey
Plane-wave Transformation
LSRTM of One Plane-wave Gather
Dynamic Plane-wave LSRTM
Plane-wave Prestack LSRTM
Computational and I/O Cost
Sensitivity to Velocity Error
Field Data Example
Shot-domain RTM
Plane-wave RTM
Plane-wave Prestack LSRTM
Dynamic Plane-wave LSRTM
Computational and I/O Cost
Discussion and Conclusion
Reverse Time Migration of Prism Waves for Salt Flank Delineation
Introduction
Theory
Prism Wave Reverse Time Migration
Geometric Interpretation of the Migration Kernel for Prism Wave
Numerical results
Simple L Model
Salt Model
Discussion and Conclusion
Deblurring filter
Signal-to-noise Ratio
Least-squares Migration with Prestack Image
Mathematical Derivation with Adjoint State Method
Bibliography
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Wei Dai 2013-07-10
