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THE APPLICATION OF ANNEALING GENETIC ALGORITHMS TO RESIDUAL STATICS CORRECTION |
HE Chao-qun1, WANG Qing1, ZHANG Pin2, LU Zhan-guo3, HE Jin-ping4 |
1. School of Geophysics and Geoinformation, China University of Geosciences, Beijing 100083,China;
2. Seismic Data Processing Center,BGP,Zhuozhou 072751,China;
3. Beijing Orangelamp Navigation Technology Development Co., Beijing 100085,China;
4. Institute of Exploration and Development,Jianghan Oilfield Branch Company,SINOPEC,Wuhan 430000,China |
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Abstract The essence of the residual static correction is a nonlinear optimization problem, so the overall optimized algorithm can be used to deal with this problem. A hybrid optimization inversion method is developed to calculate residual static correction by integrating stimulated annealing and genetic algorithms. The application of this method to synthetic and real seismic data shows this method is adaptable and effective.
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Received: 17 November 2010
Published: 15 December 2011
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