基于三阶累积量一维切片的微地震信号时延估计

发布时间：2018-06-21 04:26

本文选题：参数估计 + 噪声抑制　；参考：《湖南大学学报(自然科学版)》2016年08期

【摘要】：由于微地震有效信号易受环境噪声的干扰,严重影响时延估计值获取的准确性.基于此,提出了基于三阶累积量一维切片的方法进行微地震信号时延估计.首先计算信号的三阶自累积量和互累积量,为减少运算量满足野外实时要求取其一维切片,最终通过准则函数求取时延值.相对于传统的互相关方法,该方法对相关性未知的高斯噪声具有不敏感的特点,对相关高斯噪声有更强的抑制能力.仿真结果表明,在添加信噪比为-5~15dB的随机高斯噪声和相关高斯噪声时,其时延检测概率和均方根误差优于互相关方法.在实际资料应用中,对实际微地震噪声进行了概率分布统计分析,并且基于井地联合监测方式,选取井中信号作为参考道对地面资料进行时延值的求取.仿真和实际资料处理验证了该方法的有效性和实用性.
[Abstract]:Because the effective signal of micro-seismic is easily disturbed by environmental noise, the accuracy of time delay estimation is seriously affected. Based on this, a method based on one dimensional slice of third order cumulant is proposed to estimate the time delay of microseismic signal. First, the third order self-cumulant and mutual cumulant of the signal are calculated. In order to reduce the computational complexity, the one-dimensional slice of the signal is obtained to meet the field real-time requirements. Finally, the delay value is obtained by the criterion function. Compared with the traditional cross-correlation method, this method is insensitive to the Gao Si noise with unknown correlation, and has a stronger ability to suppress the correlated Gao Si noise. The simulation results show that the delay detection probability and root mean square error (RMS) are better than the cross-correlation method when the random Gao Si noise and correlated Gao Si noise are added with a signal-to-noise ratio of -5 ~ 15 dB. In the application of the actual data, the probability distribution of the actual micro-seismic noise is analyzed, and the time-delay value of the ground data is obtained by selecting the in-well signal as the reference track based on the joint well- to _ ground monitoring method. The effectiveness and practicability of the method are verified by simulation and practical data processing.
【作者单位】：吉林大学仪器科学与电气工程学院;吉林大学地球信息探测仪器教育部重点实验室;
【基金】：国家自然科学基金资助项目(41074074,41074082,41304139)~~
【分类号】：P315.6

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