Abstract:Using the AVA wedge dictionary for the basic pursuit decomposition,the AVA sparse layer inversion owns high resolution.However conventional AVA sparse layer inversions do not take the correlation among the elastic parameters into account,and result in the ill-posedness.Thus the density inversion result is very unstable.So we propose an AVA sparse layer inversion with the soft-low frequency constraint.First the AVA wedge dictionary and the objective function of AVA sparse layer inversion are rearranged by combined the decorrelation based on the eigendecomposition of the covariance matrix proposed by Downton.On this basis,by introducing the soft low-frequency constraint,the low frequency component of the inversion can be compensated and the full band inversion result can be acquired,which results in reducing the ill-posedness and improving the accuracy of the inverted density.Model test and real data application prove that the AVA sparse layer inversion with the soft low-frequency constraint owns the high stability and the high resolution.
张丰麒, 金之钧, 盛秀杰, 刘韬. 基于低频软约束的叠前AVA稀疏层反演[J]. 石油地球物理勘探, 2017, 52(4): 770-782.
Zhang Fengqi, Jin Zhijun, Sheng Xiujie, Liu Tao. AVA sparse layer inversion with the soft-low frequency constraint. OGP, 2017, 52(4): 770-782.
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