基于改进粒子群算法的VTI介质裂隙预测

doi:10.11720/wtyht.2024.0025

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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 reflection 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-related 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 improved algorithm was applied to predict the water-bearing property of fractures using real coal mine data,validating its effectiveness.

Key words： vertical transverse isotropy(VTI) media particle swarm optimization algorithm seismic inversion fracture prediction

Received: 23 February 2024 Published: 19 September 2024

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	Qin LI
	Xiao-Ying YANG
	Xing-Yu JIANG
	Jiang LI

Cite this article:

Qin LI,Xiao-Ying YANG,Xing-Yu JIANG, et al. Prediction of fractures in VTI media based on the improved particle swarm optimization algorithm[J]. Geophysical and Geochemical Exploration, 2024, 48(4): 1054-1064.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2024.0025 OR https://www.wutanyuhuatan.com/EN/Y2024/V48/I4/1054

Parameters of the two-layer model^[39-40]

Synthetic angle gathers for the two-layer model

Inverted results of the two-layer model

Synthetic angle gathers for 10 dB signal-to-noise ratios

Error analysis of inverted results of VTI media of two-layer model

Marmousi2 original model

Corner gathers extracted from the target position
a—water-bearing fracture;b—gas-bearing fracture;c—oil-bearing fracture

Original profiles and inverted results of region 1(water-bearing fracture) in Marmousi2 model
a,b,c,g,i—are original profiles of P-wave velocity,S-wave velocity,density,ε and δ respectively;d,e,f,h,j—are inverted profiles of P-wave velocity,S-wave velocity,density,ε and δ respectively

Original profiles and inverted results of region 2(gas-bearing fracture) in Marmousi2 model
a、b、c、g、i—are original profiles of P-wave velocity,S-wave velocity,density,ε and δ respectively;d、e、f、h、j—are inverted profiles of P-wave velocity,S-wave velocity,density,ε and δ respectively

Original profiles and inverted results of region 3(gas-bearing fracture) in Marmousi2 model
a、b、c、g、i—are original profiles of P-wave velocity,S-wave velocity,density,ε and δ respectively;d、e、f、h、j—are inverted profiles of P-wave velocity,S-wave velocity,density,ε and δ respectively

Inverted results of attribute A、B、C in region 1(water-bearing fracture)

Inverted results of attribute A、B、C in region 2(gas-bearing fracture)

Inverted results of attribute A、B、C in region 3(oil-bearing fracture)

Poisson's ratio values of selected regions in Marmousi2 model

Poisson velocity of selected regions in Marmousi2 model

Post-stack profile(Inline 317)

Angle gathers

Profiles of targeted area
a—attribute A;b—attribute B;c—attribute C;d—Poisson's ratio;e—Poisson velocity;f—log curve

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