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平行径向道时频峰值滤波消减地震资料的随机噪声

发布时间:2018-08-25 08:20
【摘要】:针对传统时频峰值滤波(TFPF)算法在消减地震勘探资料中的随机噪声时,容易引起有效信号波峰和波谷处的误差问题,提出了平行径向道TFPF方法。该方法将地震信号从炮检距-双程旅行时域变换到视速度-双程旅行时域后,沿时空域径向道方向进行TFPF。讨论了不同径向道轨线对TFPF无偏估计的影响,并对人工合成的地震记录进行了仿真试验,将沿不同轨线的平行径向道TFPF与传统TFPF结果进行比较。结果表明:所选轨线平行于同相轴或与之夹角很小时,可使信号在一个TFPF时窗内更好地满足无偏估计的条件,从而减小了滤波后波峰及波谷处的误差,使本文方法具有更好的保幅性,其信噪比较传统TFPF算法提高了5dB左右,通过对实际地震记录的仿真,证明了该方法的实用性。
[Abstract]:Aiming at the problem that the traditional time-frequency peak filter (TFPF) algorithm can easily cause the errors at the peak and valley of the effective signal when reducing the random noise in seismic exploration data, a parallel radial channel TFPF method is proposed. In this method, the seismic signal is transformed from offset to dual travel time domain to apparent velocity-dual travel time domain, and TFPF. is carried out along the radial channel direction in time and space domain. The influence of different radial trace tracks on the unbiased estimation of TFPF is discussed, and the synthetic seismic records are simulated. The parallel radial channel TFPF along different tracks is compared with the traditional TFPF results. The results show that the selected rail line is parallel to the in-phase axis or has a small angle with it, which makes the signal satisfy the condition of unbiased estimation better in a TFPF time window, thus reducing the error between the wave peak and the valley after filtering. The signal-to-noise ratio (SNR) of the proposed method is better than that of the traditional TFPF algorithm, and the 5dB is improved. The practicability of the proposed method is proved by the simulation of the actual seismic records.
【作者单位】: 吉林大学通信工程学院;吉林大学学报(信息科学版)编辑部;
【基金】:国家自然科学基金重点项目(41130421)
【分类号】:P631.4;TN911.4

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相关期刊论文 前6条

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本文编号:2202310


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