地震与大地电磁测深数据的自适应正则化同步联合反演

在传统的联合反演研究中,地球物理学者往往更多地关注数据拟合,很少涉及正则化理论.本文在电阻率和速度随机分布的大地电磁测深(MT)与地震联合反演研究的基础之上,将正则化思想引入到同步联合反演中,加入先验信息进行模型约束,选取最小模型为稳定泛函,并首次采用自适应正则化算法来确定联合反演的正则化因子.根据以往研究成果,采用非...

Adaptive regularized synchronous joint inversion of MT and seismic data

What geophysicists concerned in the previous studies on joint inversion just was data misfit with little consideration about regularization theory. In this paper, based on the joint inversion method with random resistivity and velocity distributions we studied, the concept of regularization is introduced into synchronous joint inversion of magnetotelluric (MT) and seismic data. We set stabilizer as the smallest model involving priori information. We use adaptive method to determine the value of the regularization parameter,and apply it into joint inversion for the first time. Based on our previous studies, nonlinear simulated annealing is adopted to realize apparent resistivity, phase and travel-time joint inversion. Four projects with different methods are designed in the contrast test. Test on synthetic data sets shows that the adaptive regularized joint inversion with effective model constraint has powerful capability to improve the stability of solution and efficiency of computation, and to help us to handle the difficult problem of selection weight scaling factors to a certain extent. The results of model test also reveal that adaptive regularized joint inversion is superior to MT single inversion.