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FULL WAVEFIELD INVERSION USING TIME VARYING FILTERS

机译:使用时变滤波器进行全波场反演

摘要

An improved method for reducing the accuracy requirements on the initiation model when performing multi-scale inversion of the elastic wave data (65) by the local objective function optimization (64) is disclosed. Different scales of inverse are caused by incorporating a low-pass filter into the objective function (61) and then reducing the amount of high-frequency data filtered from one scale to the next. In addition, the filter is designed to be time-varying, wherein the low-pass cutoff frequency of the filter decreases as the travel time of the filtered acoustic-wave data increases (62). The filter can be designed using Pratt's criterion to remove local minimums and to perform averages of time and travel time errors (or other statistical values) only for source and receiver locations, not for travel time (63).
机译:公开了一种用于通过局部目标函数优化(64)降低对弹性波数据(65)进行多尺度反演时对初始模型的精度要求的改进方法。通过将低通滤波器合并到目标函数中(61),然后将从一个标度转换到下一个标度的高频数据量减少,可以产生不同比例的逆。另外,滤波器被设计为随时间变化的,其中滤波器的低通截止频率随着滤波后的声波数据的传播时间的增加而减小(62)。可以使用普拉特准则设计滤波器,以去除局部最小值,并仅对源位置和接收器位置而不对传播时间执行时间和传播时间误差(或其他统计值)的平均值(63)。

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