Numerical simulation of seismic wave propagation in complex media by convolu-tional differentiator

We apply the forward modeling algorithm constituted by the convolutional Forsyte polynomial differentiator pro-posed by former worker to seismic wave simulation of complex heterogeneous media and compare the efficiency and accuracy between this method and other seismic simulation methods such as finite difference and pseudospec-tral method. Numerical experiments demonstrate that the algorithm constituted by convolutional Forsyte polyno-mial differentiator has high efficiency and accuracy and needs less computational resources, so it is a numerical modeling method with much potential.

We apply the forward modeling algorithm constituted by the Forsyte Generalized Orthogonal Polynomials proposed by former workers to the seismic wave simulation of complex heterogeneous media, and compare the efficiency and accuracy between this algorithm and other simulation approaches, such as finite difference and pseudospectraI method. Numerical experiments demon- strate that the algorithm constituted by Convolutional Forsyte Polynomial Dif ferentiator has high efficiency and accuracy, and needs less computational resources, so it is a numerical modeling method with much potential.