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 byf-k filtering, Radon transform and Curvelet domain aiming at strong random noise. This method was tested in the metallic ore deposit of Jinehang, which enhanced the SNR and showed the practicality and efficiency.
出处
《世界地质》
CAS
CSCD
2012年第2期406-411,共6页
World Geology
基金
深部探测技术与实验研究专项"深反射地震处理解释新技术
新方法研究"(201011047-02)
