Inverse Q filtering is one of the practical methods for improving the resolution and preserving the amplitude of seismic data,and hence it has important practical value in seismic reservoir prediction.Researchers have been studying the function of amplitude for a long time,and have found that the inverse Q filtering method using time-varying amplitude compensation function is one of the current research and improvement directions.In this paper,by studying several commonly used and effective inverse Q filtering methods,a time-varying gain limit inverse Q filtering method based on the Teager-Kaiser energy principle to obtain the gain limit of the amplitude compensation function is proposed,which improves the traditional inverse Q filter.The new method calculates the time-varying gain limit of the compensation function based on a smooth continuous function instead of the piecewise function or cut-off frequency used in traditional inverse Q filtering.Therefore,the new method has the advantage of stably adjusting the time-varying gain limit,so it can increase the accuracy of the inverse Q filter,especially for the amplitude preservation and resolution improvement of deep media.The effectiveness and practicability of the proposed method were proved with theoretical models and practical data.
邓儒炳, 阎建国, 陈琪, 宋鑫磊. 一种基于连续补偿函数的时变增益限反Q滤波方法[J]. 物探与化探, 2021, 45(3): 702-711.
DENG Ru-Bing, YAN Jian-Guo, CHEN Qi, SONG Xin-Lei. A new time-varying gain limits inverse Q filtering with the continuous compensation function. Geophysical and Geochemical Exploration, 2021, 45(3): 702-711.
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