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《中国科学院地质与地球物理研究所2012年度(第12届)学术论文汇编——固体矿产资源研究室》 2013年
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Extracting the Virtual Reflected Wavelet from TEM Data Based on Regularizing Method

GUO-QIANG XUE  CHAO-YING BAI  XIU LI  
【摘要】:正A pseudo-seismic interpretation method is an alternative way to process and explain transient electromagnetic(TEM) data,and has become a popular research field in recent years.TEM signals which satisfy the diffusion equation can be converted by means of a mathematical transformation into ones which obey the wave equation.For an ill-posed problem of this kind of transformation, a sub-regularization algorithm is developed in this paper to extract a virtual wavelet of the TEM field.According to the conventional designation of TEM recordings,the entire integration period is divided into seven time intervals.In order to avoid low accuracy in the calculations,high-density wavefield data has been calculated based on the former sub-division.Therefore,the virtual wavelet can be extracted successfully by using an optimized algorithm to obtain high-density integral coefficients for all time windows,and a satisfactory condition number of the coefficient matrix while taking a different channel number in each time period. The Tikhonov regularization inversion scheme is used to determine the optimal parameters based on minimizing a least squares misfit, and the Newton iterative formula is used to obtain optimal regularization parameters.Both synthetic model simulations and a real data interpretation example indicate that the proposed pseudoseismic wavefield method is a suitable alternative way to interpret TEM data.

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