An elastic vector wave field numerical simulation method and system based on a random search algorithm

Abstract

The invention provides an elastic vector wave field numerical simulation method and system based on a random search algorithm, computer equipment and a computer readable storage medium, and relates tothe technical field of seismic exploration. The method comprises the following steps: constructing an improved particle swarm algorithm; According to the improved particle swarm optimization algorithm, carrying out optimization solution on an objective function containing a finite difference coefficient to obtain an optimized finite difference coefficient; And carrying out numerical simulation onthe elastic vector wave field according to a finite difference operator formed by the optimized finite difference coefficient. The invention designs a random search algorithm. the algorithm is an improved particle swarm algorithm; According to the elastic vector wave field numerical simulation method, the objective function containing the finite difference coefficient is optimized and solved through the improved particle swarm algorithm, the optimized finite difference coefficient is obtained, then the finite difference operator composed of the finite difference coefficient is used for conducting elastic vector wave field numerical simulation, and the elastic vector wave field numerical simulation precision and efficiency are improved.

Description

technical field [0001] The present invention relates to the technical field of seismic exploration, in particular to numerical simulation technology in the field of seismicity, specifically a method, system, computer equipment and computer-readable storage medium for elastic vector wave field numerical simulation based on random search algorithm. Background technique [0002] Finite difference numerical simulation technology began in the late 1960s. It has been widely used in seismic numerical simulation, migration imaging and geophysical inversion. The advantage of using the finite difference method for numerical simulation of seismic wavefields is that large-scale CPU / GPU clusters can be used to process massive data, but the disadvantage is that numerical dispersion is bound to be introduced. [0003] Numerical dispersion is an unavoidable problem in the finite difference method, which will directly affect the accuracy of numerical simulation. In order to reduce numerical...

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Problems solved by technology

[0006] In view of this, the embodiment of the present invention provides a numerical simulation method, system, computer equipment and computer-readable storage medium of an elastic vector wave field based on a random search algorithm. By designing a random search algorithm, that is, an improved particle swarm optimization algorithm , in order to solve the problem that when the conventional particle swarm optimization algorithm performs multi-parameter optimization, the convergence is slow, and it is easy to fall into the local optimum, so that the convergence cannot reach the global optimal solution. An improved particle swarm optimization algorithm is formed. The objective function of the coefficient is optimized and solved to obtain the optimized finite difference coefficient, and then the finite difference operator formed by the finite difference coefficient is used to carry out the numerical simulation of the elastic vector wave field, which improves the accuracy and efficiency of the numerical simulation of the elastic vector wave field

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