基于全局自适应MCMC算法的裂缝型储层缝隙流体因子叠前地震反演

doi:10.11720/wtyht.2024.2608

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Abstract

Fractured reservoirs typically exhibit anisotropic characteristics,and their fractures show different seismic responses when filled with fluids.Accurate identification of fluids in fractured reservoirs plays a significant role in indicating the hydraulic fracturing process in the late hydrocarbon exploration and production stage.This study adopted the concepts of normal and tangential fracture quasi-weaknesses and constructed a new indicative factor for fluids in fractures.Combining the linear slip theory, this study derived the elastic stiffness matrix expression of the fracture-induced HTI medium.Based on the scattering theory and the Born approximation equation,this study derived the linearized P-wave incident anisotropic reflection coefficient equation for the weakly contrasted interface.Moreover,this study proposed an improved global adaptive MCMC algorithm by introducing the adaptation strategy into the MCMC algorithm.The results show that:(1)In the absence of noise,the model testing results were highly consistent with the log data,with a consistency degree of above 90%;(2)The inversion results of the actual data aligned closely with the log interpretation results,and hydrocarbons were discovered through drilling in the target interval.As indicated by the results of model testing and actual data application in a study area in Southwest China,the prestack seismic inversion of fluid factors in fractured reservoirs,yielding highly consistent results with log interpretation data,demonstrates certain reliability and applicability and thus can achieve accurate fluid identification and hydraulic fracturing indication.

Key words： fractured reservoir fluid identification global adaptive prestack seismic inversion

Received: 06 December 2022 Published: 26 February 2024

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	Articles by authors
	Jing ZHANG
	Yong WANG
	Hui-Yan ZHAO
	De HENG
	Jun HUANG
	Xiao-Dan ZHANG
	Wen-Wen WANG
	Yan-Bing HE

Cite this article:

Jing ZHANG,Yong WANG,Hui-Yan ZHAO, et al. Prestack seismic inversion of fluid factors in fractured reservoirs based on the global adaptive MCMC algorithm[J]. Geophysical and Geochemical Exploration, 2024, 48(1): 105-112.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2024.2608 OR https://www.wutanyuhuatan.com/EN/Y2024/V48/I1/105

	$M$ /GPa	$μ$ /GPa	$ρ$ /(kg·m^-3)	$? q δ N$	$? q δ T$
层1	58	18	2.6	0	0
层2	78	23	2.5	1.15	1.07

Parameters of double-layer model

Reflection coefficient equation comparison

Inversion results of P-wave modulus(a),shear modulus(b),density(c),normal weakness of quasi-fracture(d),tangential weakness of quasi-fracture(e),and fluid indicator factor HFI(f) without noise

Inversion results of P-wave modulus(a),shear modulus(b),density(c),normal weakness of quasi-fracture(d),tangential weakness of quasi-fracture(e) and fluid indicator factor HFI(f) when the signal-to-noise ratio is 5∶1

Convergence curve of fluid indicator factor HFI

Azimuth seismic data
a—angle of incidence 6°,azimuth 45°;b—angle of incidence 18°,azimuth 45°;c—angle of incidence 30°,azimuth 45°;d—angle of incidence 6°,azimuth 135°;e—angle of incidence 18°,azimuth 135°;f—angle of incidence 30°,azimuth 135°

Inversion results of P-wave modulus(a),shear modulus(b),density(c),normal weakness of quasi-fracture(d), tangential weakness of quasi-fracture(e),and fluid indicator factor HFI(f)

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