一种新的地震子波提取与层速度反演方法_袁三一.pdf

2 3 1 Vol. 23 No. 1 2008 2 ( : 198~ 205) PROGRESS IN GEOPH YSICS Feb. 2008 袁三一, 陈小宏 ( , 102249) 粒子群优化算法是近十年发展起来的一种基于群智能的非线性全局最优化新方法. 本 详细介绍了粒子群 优化算法的基本原理, 并将其应用到子波提取与层速度反演中. 通过模拟数值算例, 从不同角度研究了粒子群优化算 法的可行性及其效率问题. 试算结果表明, 粒子群优化算法在不同分辨率不同信噪比不同相位子波合成的地震记 录反演中效果明显. 粒子群优化算法, 地震子波, 层速度, 反演 P 31 A 1004-2903( 2008) 02-0198-08 A new method for seismic wavelet extraction and interval velocity inversion YUAN San- yi, CHEN Xiao-hong ( K ey L ab of G eop hy s ica l Ex p lo rat i on und er CN P C , China Univ ers i ty of P et ro leu m, Be i ing 102249, Chi na ) Abstract Based on sw arm intelligence, particle sw arm optimization ( PSO) algorithm is a kind of nonlinear global op- t imization method which is advanced for t his decade. This paper introduced its basic principle in detail, and applied it to wavelet ext raction and interval velocity inversion. Based on numerical simulation, we st udied it s feasibility and effi- ciency from different aspects. From the results it showed that the method has good effects in synthetic seismogram in- version w ith different resolution, signal t o noise rat io and phase. Keywords PSO algorithm, seismic w avelet, interval velocity, inversion [19] . , 0 引 言 , , . , DIX ( ) . DIX , ; [ 1~ 18] . : . ; . , [ 9~ 18] .