混沌噪声扰动的地震波形反演研究  

A STUDY OF SEISMIC WAVEFORM INVERSION BY CHAOTIC NOISE PERTURBING

作　　者：尹成[1] 蒲勇[1] 周洁玲[1] 徐传平[2] 郑雄[2] 

机构地区：[1]西南石油学院应用地球物理研究所,四川南充637001 [2]四川石油管理局地质调查处

出　　处：《西南石油学院学报》2002年第4期5-8,共4页Journal of Southwest Petroleum Institute

基　　金：四川省应用基础研究资助项目 (0 1GY0 5 1-3 1);西南石油学院院科技基金资助项目 (Y15 5 )

摘　　要：地球物理优化反演问题大都是非线性、多参数、多极值的反演问题 ,因此从一些非线性领域去探索新的全局优化算法来求解地球物理反演问题具有很大的实际价值。将一种混沌噪声扰动的思想引入到了地震波形的优化反演中 ,通过加入混沌噪声算子来提高梯度下降算子的全局收敛能力 ,既保持了梯度下降法的快速搜索能力 ,同时又具有逃出局部极值陷井的“动力”。模型试验表明 ,混沌噪声扰动的策略比常规的遗传算法和基于Logsitc混沌运动轨迹搜索的优化算法具有更快的运算效率 ,更少的主观控制参数 。In general, geophysical inversion is a nonlinear, multi parameter, non onvex question. It is therefore worthy of solving geophysical inversion questions with nonlinear approaches to search for new global optimization algorithm. In the present work, the thought of chaotic noise perturbing is introduced into seismic waveform inversion. The method is characterized by introducing a simple nonlinear feedback into the gradient descendant systems for optimization tasks. It not only maintains the fast searching speed of the gradient descendant method, but also is of the capability to get away from the pitfall of local extremum. Results show that in comparison with conventional genetic algorithm and logistic map based chaotic optimization algorithm the proposed method is faster in computation and needs less subjective parameters, and then is easier to lead to a global optimization.

关 键 词：混沌噪声扰动 地震波形 反演 研究 梯度下降 优化算法 地震勘探 

分 类 号：P631.443[天文地球—地质矿产勘探]