Target-oriented wavefield-based tomography by modulated illumination
| Autor: | Jing Xia Zhao, Shu Lun Zhang, Pei Yong Sun, Wanli Cheng |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Plane wave Illumination Technique Image (mathematics) Power (physics) Computer vision Tomography Artificial intelligence business Model building Energy (signal processing) ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | SEG Technical Program Expanded Abstracts 2013. |
| DOI: | 10.1190/segam2013-0095.1 |
| Popis: | Summary We present a target-oriented wavefield-based tomography for velocity model building. The input data are generated by modulated illumination. This illumination method is based on the controlled illumination technique. It uses modulated sources to generate the minimal dataset containing all the useful information for velocity updating. With the minimal dataset, the wavefield-based tomography is faster than those with plane wave sources. In our target-oriented wavefield-based tomography, the velocity model is updated automatically by minimizing the objective function. The objective function measures both the energy focusing in the offset-domain Common Image Gathers (CIGs) and the zero-offset image power. To effectively avoid unreasonable velocities, we impose constraints on velocity model with a transform method. We will show the test results of our wavefield-based tomography on Marmousi model and a real dataset from South Sea (China). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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