Model space dimensionality reduction method of mine seismic wave velocity inversio
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摘要: 针对矿震波速非线性反演方法收敛速度慢、计算量大等问题，提出了一种基于二维快速傅里叶变换的矿震波速反演模型空间降维方法。该方法通过二维快速傅里叶变换及高频截断，可在损失部分高频信息的前提下降低矿震波速反演模型空间维数，从而提高波速反演速度。实验结果表明，采用该方法可将50×50网格的矿震波速反演模型空间维数降为原来的1/100，在此基础上采用粒子群优化算法对矿震波速进行反演时可快速收敛，并稳定地获得与理论值较为接近的反演值。Abstract: For problems of slow convergence speed and large calculation amount existed in non-linear inversion methods of mine seismic wave velocity inversion, a model space dimensionality reduction method of mine seismic wave velocity inversion was proposed based on 2D fast Fourier transformation. The method can reduce model space dimensionality of mine seismic wave velocity inversion on the premise of partial loss of high frequency information through 2D fast Fourier transformation and high frequency truncation, so as to speed up seismic wave velocity inversion. The experimental results show that model space dimensionality of 50×50 grid can be reduced to 1/100 by use of the method, and on this basis, particle swarm optimization algorithm can be used to invert the seismic wave velocity, which can converge rapidly and obtain inversion value close to the theoretical value stably.
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