Petroleum Science >2013,??Issue 2:??190-194 DOI: https://doi.org/10.1007/s12182-013-0266-5
Optimization of the seismic processing phase-shift plus finite-difference migration operator based on a hybrid genetic and simulated annealing algorithm Open?Access
文章信息
作者：Luo Renze,Huang Yuanyi,Liang Xianghao,Luo Jun and Cao Ying
作者單位：
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China;Geophysics Development Department of BGP, Hebei 072751, China;Exploration and Exploitation Department of Tarim Oilfield Company, PetroChina, Korla, Xinjiang 418000, China;Changqing Oilfield Company, PetroChina, Ningxia 750000, China;Changqing Oilfield Company, PetroChina, Ningxia 750000, China
投稿時(shí)間：2012-06-18
引用方式：Luo, R., Huang, Y., Liang, X. et al. Pet. Sci. (2013) 10: 190. https://doi.org/10.1007/s12182-013-0266-5
文章摘要
Although the phase-shift seismic processing method has characteristics of high accuracy, good stability, high efficiency, and high-dip imaging, it is not able to adapt to strong lateral velocity variation. To overcome this defect, a finite-difference method in the frequency-space domain is introduced in the migration process, because it can adapt to strong lateral velocity variation and the coefficient is optimized by a hybrid genetic and simulated annealing algorithm. The two measures improve the precision of the approximation dispersion equation. Thus, the imaging effect is improved for areas of high-dip structure and strong lateral velocity variation. The migration imaging of a 2-D SEG/EAGE salt dome model proves that a better imaging effect in these areas is achieved by optimized phase-shift migration operator plus a finite-difference method based on a hybrid genetic and simulated annealing algorithm. The method proposed in this paper is better than conventional methods in imaging of areas of high-dip angle and strong lateral velocity variation.
關(guān)鍵詞
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Migration operator, phase-shift plus finite-difference, hybrid algorithm, genetic and simulated annealing algorithm, optimization coefficient