Inversion strategy research of travel time tomography with sparse rays

Yali Guo, Yan Han, Linmao Liu

National key laboratory of Electronic test Technology in North University of China, Taiyuan, Shanxi, China

The incomplete data travel time tomography with sparse rays can result in the ill-posed inverse problem in practical engineering, so the inversion strategy is very important in order to obtain reasonable inversion result. In this paper, the generalized inverse theory is taken and the influences are discussed which the system layout, initial model and prior information will impose on the inversion. The indexes of system optimal layout, the selection principle of initial model and regularization methods are presented in this paper. A velocity model of explosion is imitated and the inversion results are compared. A conclusion can be gained that system optimal layout, initial model rational selection and regularization methods utilization can help to improve inversion precision farthest in practical project