物探与化探2024，Vol.48Issue(4)：1054-1064,11.DOI:10.11720/wtyht.2024.0025
基于改进粒子群算法的VTI介质裂隙预测
Prediction of fractures in VTI media based on the improved particle swarm optimization algorithm
摘要
Abstract
The anisotropy caused by fractures is ubiquitous in formation media.The inversion and prediction of fracture parameters based on anisotropy can somewhat improve the inversion accuracy and prediction reliability of fractures.This study established a reflec-tion coefficient equation based on vertical transverse isotropy(VTI)media.Then,it improved the standard particle swarm optimization algorithm by setting the exit probability based on the Metropolis criterion of the simulated annealing algorithm.Consequently,it obtained the inversion results of compressional-and shear-wave velocities and anisotropy parameters in VTI media.By combining anisotropy-re-lated attributes,Poisson's ratio,and Poisson's velocity,this study predicted the fillers in fractures.The improved algorithm was tested for stability and noise resistance using a two-layer model and a Marmousi2 model,demonstrating its feasibility.Furthermore,the im-proved algorithm was applied to predict the water-bearing property of fractures using real coal mine data,validating its effectiveness.关键词
VTI介质/粒子群算法/地震反演/裂隙预测Key words
vertical transverse isotropy(VTI)media/particle swarm optimization algorithm/seismic inversion/fracture prediction分类
天文与地球科学引用本文复制引用
李勤,杨晓迎,姜星宇,李江..基于改进粒子群算法的VTI介质裂隙预测[J].物探与化探,2024,48(4):1054-1064,11.基金项目
国家自然科学基金项目"煤层地震波各向异性响应及裂隙预测"(41674135) （41674135）
陕西省自然科学基础研究项目"煤矿隐蔽致灾地质体地震波场模拟与深度域成像方法研究"(2024JC-YBMS-236) （2024JC-YBMS-236）
