基于粒子群优化算法波阻抗反演的研究与应用

Study and application of wave impedance inversion based on particle swarm optimized algorithm

在地震勘探中占有重要地位的波阻抗反演属于求解最优化问题,其优化目标函数可能包含多个在一定范围内的连续变量,传统的优化手段存在对有些函数难以优化、容易陷入局部解及收敛速度缓慢等问题。粒子群算法只是考虑目标函数,对初始模型的依赖程度不高,并且可以随机地在全局域内进行搜索。本文基于粒子群算法的原理,提出了地震道反演中粒子群算法的实现方法,并详细地分析粒子群算法的抗噪能力;利用模型对该方法进行检测,得知在无噪时反演结果与模型一致;在依次加入3%、10%和25%的噪声后,反演前后的相关系数分别达到98.31%、93.27%和82.09%;文中还用实际资料证明了该方法的有效性。

The wave impedance inversion occupying important position in seismic exploration belongs to optimum issue of solution, the optimized objective function may include many continuous variations in a certain scope, the traditional optimum way has some problems such as some functions are difficult to be optimized that easily falls into local solution and slow convergent speed. The particle swarm algorithm only considers objective function and does not highly depend on the initial model, and can carry out the sea...