Seismic fluid identification using a nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo method

Elastic impedance inversion with high efficiency and high stability has become one of the main directions of seismic pre-stack inversion. The nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo （MCMC） method is proposed in this paper, combining conventional MCMC met...

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Vydáno v:Petroleum science Ročník 12; číslo 3; s. 406 - 416
Hlavní autoři: Zhang, Guang-Zhi, Pan, Xin-Peng, Li, Zhen-Zhen, Sun, Chang-Lu, Yin, Xing-Yao
Médium: Journal Article
Jazyk:angličtina
Vydáno: Beijing China University of Petroleum (Beijing) 01.08.2015
School of Geosciences, China University of Petroleum (East China), Qingdao 266580, Shandong, China
Témata:
Computational fluid dynamics
Earth and Environmental Science
Earth Sciences
Economics and Management
Energy Policy
Fluid flow
Fluids
Impedance
Industrial and Production Engineering
Industrial Chemistry/Chemical Engineering
Inversions
Mineral Resources
Monte Carlo methods
Nonlinearity
Original Paper
Seismic surveys
叠前反演
地震
孔隙流体
弹性阻抗
蒙特卡罗方法
识别方法
非线性
马氏链
Elastic impedance
Effective pore-fluid bulk modulus
Preconditioned conjugate gradient algorithm
Fast Markov chain Monte Carlo method
Nonlinear inversion
ISSN:1672-5107, 1995-8226
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Popis
Shrnutí:Elastic impedance inversion with high efficiency and high stability has become one of the main directions of seismic pre-stack inversion. The nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo （MCMC） method is proposed in this paper, combining conventional MCMC method based on global optimization with a preconditioned conjugate gradient （PCG） algorithm based on local optimization, so this method does not depend strongly on the initial model. It converges to the global optimum quickly and efficiently on the condition that effi- ciency and stability of inversion are both taken into consid- eration at the same time. The test data verify the feasibility and robustness of the method, and based on this method, we extract the effective pore-fluid bulk modulus, which is applied to reservoir fluid identification and detection, and consequently, a better result has been achieved.
Bibliografie:Guang-Zhi Zhang Xin-Peng Pan Zhen-Zhen Li Chang-Lu Sun Xing-Yao Yin（ 1 School of Geosciences, China University of Petroleum （East China）, Qingdao 266580, Shandong, China）
11-4995/TE
Elastic impedance inversion with high efficiency and high stability has become one of the main directions of seismic pre-stack inversion. The nonlinear elastic impedance inversion method based on a fast Markov chain Monte Carlo （MCMC） method is proposed in this paper, combining conventional MCMC method based on global optimization with a preconditioned conjugate gradient （PCG） algorithm based on local optimization, so this method does not depend strongly on the initial model. It converges to the global optimum quickly and efficiently on the condition that effi- ciency and stability of inversion are both taken into consid- eration at the same time. The test data verify the feasibility and robustness of the method, and based on this method, we extract the effective pore-fluid bulk modulus, which is applied to reservoir fluid identification and detection, and consequently, a better result has been achieved.
Elastic impedance Nonlinear inversion FastMarkov chain Monte Carlo method - Preconditionedconjugate gradient algorithm ~ Effective pore-fluid bulkmodulus
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ISSN:1672-5107
1995-8226
DOI:10.1007/s12182-015-0046-5