摘要：Sparse-spike reflectivity inversion can be generally regarded as the combination of a non-linear problem of finding the locations and a linear problem of solving the amplitudes of a series of non-zero spikes. The input parameters of the inversion, including the trade-off parameter and the number of the non-zero spikes, are always determined by presetting under the rule of thumb. The improper choices of the input parameters are likely to cause the overfitting issue. Moreover, because the convergence is affected by the fitness between the observed data and the synthetic data derived by using the inverted spikes, the spikes with large amplitudes will have larger influence on the determination of the convergence. As a result, the outliers with large amplitudes are likely to affect the inversion result seriously. Under the assumption of layered-earth model and lateral continuity of subsurface layer, multi-trace stochastic inversion method is developed with adjacent seismic traces served as a constraint. By simultaneously non-linear search for the locations and the slopes of non-zero spikes of the target trace, the proposed method enhances the robustness of inversion results to the choice of input parameters and relieves the influence of outliers to some extent. As an extension of the single-trace stochastic sparse-spike inversion, the detecting ability to thin-beds is reserved and the uncertainty of the obtained reflectivities can be estimated. Synthetic data examples illustrate the effectiveness of the proposed method. The details of subsurface geologically structure are derived in the field data example, which could be helpful to the interpretation. (C) 2018 Published by Elsevier B.V.

关键字：Multi-trace inversion Sparse-spike reflectivity inversion Stochastic inversion

ISSN号：0926-9851

卷、期、页：卷: 161 页: 84-91

发表日期：2019-02-01

影响因子：1.347000

期刊分区（SCI为中科院分区）：四区

收录情况：SCI（科学引文索引印刷版）,ESI（基本科学指标数据库）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：Journal of Applied Geophysics

通讯作者：纪永祯

第一作者：袁三一,王尚旭

论文类型：期刊论文

论文概要：纪永祯,袁三一,王尚旭，Multi-trace stochastic sparse-spike inversion for reflectivity，Journal of Applied Geophysics，2019，卷: 161 页: 84-91

论文题目：Multi-trace stochastic sparse-spike inversion for reflectivity