High-order finite-difference method in seismic wave simulation with variable grids and local time-steps
Dong Liang
Abstract
Dong Liang
Abstract
All the seismic wave simulation methods are aimed to improve the computational accuracy and efficiency.By the combination of variable spatial grids and locally variable time-steps,a high-order finite-difference method with arbitrarily variable spatial grids and local time-steps is presented.The numerical results show that the simulation accuracy and efficiency are raised effectively.Additionally,compared with the traditional method,this modeling method has advantages on the simulation of the seismic wave propagation in the media with fractures,caves and complicated structures,for this method can describe such media in details,and has high accuracy and efficiency.
OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
All the seismic wave simulation methods are aimed to improve the computational accuracy and efficiency.By the combination of variable spatial grids and locally variable time-steps,a high-order finite-difference method with arbitrarily variable spatial grids and local time-steps is presented.The numerical results show that the simulation accuracy and efficiency are raised effectively.Additionally,compared with the traditional method,this modeling method has advantages on the simulation of the seismic wave propagation in the media with fractures,caves and complicated structures,for this method can describe such media in details,and has high accuracy and efficiency.
Key concepts: Variable (mathematics), Computer science, Finite difference method, Finite difference, Seismic wave, Algorithm, Mathematical optimization, Mathematics