串联去噪技术在金属矿地震勘探中的应用
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摘要
金属矿地震勘探中原始数据的信噪比很低,多种干扰混杂在记录中,常规去噪手段难以达到理想效果。针对金属矿地震数据中强线性干扰,设计了f-k滤波、Radon变换方法二级衰减;针对强随机噪声,设计Radon变换以及Curvelet域组合变换法二级衰减,组成了f-k滤波法、Radon变换及Cur-velet域组合变换法串联去噪方法。应用于金昌金属矿多类混杂强噪声的地震实际数据中,大幅提高了数据的信噪比,经验证本文方法实用、有效。
The signal to noise ratio(SNR) of raw data from seismic exploration in metal mine is very low,and various sorts of undesired perturbations mixed in the record.Since the traditional de-noise methods are limited to improve the SNR,the authors designed f-k filtering and Radon transform secondary attenuation aiming at the medium-strong linear interferences of metal mine seismic data,and designed Radon transform and combined transformation method in Curvelet domain secondary attenuation to form the comprehensive denoise method by f-k filtering,Radon transform and Curvelet domain aiming at strong random noise.This method was tested in the metallic ore deposit of Jinchang,which enhanced the SNR and showed the practicality and efficiency.
引文
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