摘要
By exploring a developed multiple (reflected, transmitted and converted) arrival tracking algorithm with modified irregular shortest-path method, and combining the conjugated gradient method to solve the constrained, damped least square problem, the authors discuss and analyze a simultaneous inversion algorithm combining different travel time datasets in 3D complex layered media. In the inversion process the authors introduce different weighting factors according to the different picking errors of different sets of arrival times. In order to balance the influence on the two different model parameters in simultaneous inversion, the authors normalize two different model parameters in Jacobi matrix in the inversion process. The numerical results show that it is a practical and efficient way to improve the spatial resolution and reduce the artifact in reconstructing velocity distribution and reflected subsurface interface.