Abstract:〗Although the sequence joint inversion is a priority method of joint inversion with gravity and seismic data, its theoretical basis is less comprehensive than the theoretical basis of synchronous joint inversion. So, we analyze the weak points of the sequence joint inversion, and make some improvements in the mesh mode of geological structure and constraints. Then we employ wavelet multi-scale analysis and quasi-BP neural network inversion to improve the resolution of the result and to accelerate convergence. The inversion of Suining-Aba in the Longman mountains shows that the inversion effect of this method is obvious.
GUO Wenbin,JIA Shixu,LIN Jiyan et al. The Improvement of Joint Inversion with Gravity and Seismic Data
and Its Application to Data from Suining-Aba Profile[J]. jgg, 2015, 35(5): 857-860.