Abstract
Groom-Bailey decomposition method is the most widely used method of tensor decomposition of magnetotelluric impedance, which is referred to as GB decomposition. The essence of the GB decomposition method is to solve the nonlinear over-determined equations derived from the GB decomposition definition. Traditional GB decomposition methods often use linear optimization methods to solve the equations, which have low calculation accuracy and slow speed. In this regard, this article introduces the standard particle swarm optimization algorithm into the GB decomposition method for the first time. The standard particle swarm algorithm is used to solve the equations. The global optimization method is used to implement the magnetotelluric GB decomposition method, and the synthesized single-point single-frequency data is used. The 3D / 2D model forward data is used to perform decomposition experiments. The experimental results show that the standard electromagnetic particle decomposition method based on the standard particle swarm algorithm is effective.
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