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《Chinese Journal of Geophysics》 2015-02
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Study of fast stochastic inversion based on FFT-MA spectrum simulation

WANG Bao-Li;YIN Xing-Yao;DING Long-Xiang;ZHANG Guang-Zhi;SUN Rui-Ying;School of Geoscience,China university of Petroleum (East China);Guangzhou Marine Geological Survey;  
Although the stochastic inversion based on geostatistics can effectively integrate high frequency information from well logs with higher resolution,however,it has low computational efficiency and too much memory consumption,which limits its application in real seismic data.The stochastic inversion is used to improve the operation efficiency of inversion and obtain highresolution inversion results.On the basis of the traditional stochastic inversion,a new method of stochastic inversion is proposed,i.e.the fast stochastic inversion based on fast Fourier transform-moving average(FFT-MA)spectrum simulation.This method is used to conduct geostatistical simulation in the frequency domain,and the gradual deformation updating method(GDM)can be used to accelerate the simulation convergence through continuous modification of the reservoir model until it matches the real seismic data.FFT-MA simulation is a spectrum simulation method which can perform fast simulation in the frequency domain by Fourier transform.Compared with the sequential Gaussian simulationalgorithm,the FFT-MA spectrum simulation can greatly improve the computational efficiency while has better simulation result.The conditioned FFT-MA spectrum simulation method can reconstruct the data which satisfy the specified covariance structure and grid size as well as the known well data.The GDM can get a series Gauss white noises realization which having the same mean and variance distribution.By changing the Gauss white noise,the FFT-MA disturbance simulation results will have all or part of the continuous modification.The synthetic seismic data can be obtained from the simulation results by forward modeling.Fast optimized stochastic inversion results will be obtained while the synthetic seismic data match well with the real seismic data.Compared with the conventional stochastic inversion,the fast stochastic inversion method can get high-resolution inversion result.Moreover,it can enhance the computational performance and reduce the memory consumption,and also accelerate the convergence process of the inversion.The model tests show that the proposed stochastic inversion method can obtain higher resolution of inversion results than the deterministic inversion method and match the model well.The analysis of the real data also shows that the high-resolution inversion result of the stochastic inversion method can have better exhibit thin interbedded reservoirs.The fast stochastic inversion method can get higher resolution of inversion result than deterministic inversion method and has faster computational efficiency than conventional stochastic inversion.The proposed method can be used in the identification of thin reservoirs.The proposed method is not affected by the sequential factors;therefore it can be parallel computed in the future research which will further improve the computational efficiency.
【Fund】: 国家重点基础研究发展计划项目(2013CB228604);; 国家科技重大专项(2011ZX05009);; 国家自然科学基金(41204085);; 山东省自然科学基金(ZR2011DQ013);; 中央高校基本科研业务费专项资金(13CX02040A);; 中国石化地球物理重点实验室开放基金(WTYJY-WX2013-04-07)联合资助
【CateGory Index】: P631.4
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