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《Chinese Journal of Geophysics》 2017-03
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Least-squares reverse time migration based on unstructured gird

YANG Kai;ZHANG Jian-Feng;Institute of Geology and Geophysics,Key Laboratory of Petroleum Resource Research,Chinese Academy of Sciences;University of Chinese Academy of Sciences;  
Compared with conventional reverse time migration,the least-squares reverse time migration can improve image quality by using the inversion-based algorithm. In addition, the accuracy and efficiency of this method mainly depends on the accuracy and efficiency of solving acoustic wave equation. The unstructured gird method describes interfaces more precisely and can use the velocity related adaptive mesh generation algorithm. In this paper, we propose a leastsquares reverse time migration algorithm based on unstructured gird. The purpose is to combine the advantages of the least-square's algorithm and unstructured gird method, and then to use Laplacian filter with compensation to remove the low-frequency noise in the calculation of gradient. Thus we can accelerate the speed of convergence of the objective function. This method is successfully applied to a simple inclined layered model and the Marmousi model, which demonstrates its efficiency and potential.
【Fund】: 国家自然科学基金面上项目(41574135);国家自然科学基金重点项目(41330316);; 中石油弹性波地震成像项目(2015A-3613)联合资助
【CateGory Index】: P631.4
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Chinese Journal Full-text Database 7 Hits
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【Co-citations】
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