Prediction of fractures in VTI media based on the improved particle swarm optimization algorithm
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.
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