摘要
针对匹配追踪庞大的计算量造成地震数据处理效率低下的问题,提出一种基于遗传算法和正交原子匹配追踪的快速分解方法,通过遗传算法缩小原子库的搜索范围,减少贪婪迭代的次数,由原子的正交化处理消除冗余分量,加速残差收敛进程。为增加分解的灵活性,采用相邻残差比阈值作为迭代终止条件。合成地震记录和实际地震记录稀疏分解结果表明:本文方法不仅能降低分解的稀疏度,而且运行速度大幅提高,验证了方法的有效性和适用性。
Matching pursuit has become more and more widely used in the seismic exploration area because it can linearly represent seismic trace according to its time-frequency characteristics. However, the amount of calculation is so large that the data processing becomes inefficient. Therefore, this paper proposes a fast matching pursuit method based on genetic algorithm and orthogonal atom. Genetic algorithm could narrow the search range of atom dictionary and reduce the number of greedy iteration. The redundant components could be eliminated by the orthogonalization of atoms and the process of residual convergence is accelerated effectively. In order to increase decomposition flexibility, this paper uses the adjacent residual ratio threshold as the termination condition of iteration. The proposed method is applied to sparse decomposition of synthetic seismic trace and real seismic trace respectively, and the experimental results show that the proposed method could not only reduce the sparsity of decomposition, but also greatly improve the operating speed. © 2016, Editorial Department OIL GEOPHYSICAL PROSPECTING. All right reserved.
出处
《石油地球物理勘探》
EI
CSCD
北大核心
2016年第5期881-888,893,共9页
Oil Geophysical Prospecting
基金
国家自然科学基金项目(41104070)
山东省自然科学基金项目(ZR2011DQ014)资助
关键词
稀疏匹配追踪
遗传算法
相邻残差比
正交化度
Atoms
Data handling
Genetic algorithms
Seismic prospecting
Seismology
作者简介
山东省青岛市黄岛区长江西路66号中国石油大学（华东）信息与控制工程学院，266580。Email：slwangjun@upc．edu．cn.王珺副教授，1973年生；1995年毕业于中国石油大学（华东）应用地球物理专业，获学士学位；2005年毕业于中国科学院地质与地球物理研究所固体地球物理专业，获博士学位。目前在中国石油大学（华东）从事教学工作和地震信号处理方面的研究。
