Using FIR plus PWVD filtering to eliminate random noise
Xia Hong-rui1, Zhang Yi-ping1, Zhang Nai-xun2
1. Geophysical Prospecting Company of Jianghan Petroleum Administration, Qianjiang City, Hubei Province, 433100, China;
2. Department of Development of Jilin Oilfield Company, CNPC, Songyuan City, Jiling Province, 138000, China
Abstract：The paper analyzed the basic mechanism of PWVD eliminating random noise, pointed out the issues of the method having larger computational works of iterative algorithm and being difficult to meet the linear condition locally in a condition of lower S/N ratio of data, presented using FIR filtering to carry out filtering of seismic data firstly, making the application condition of PWVD filtering be met, and then using PWVD filtering to replace iterative PWVD filtering algorithm. The method can both reduce computational works and improve filtering effect. The experimental computation by Ricker wavelet, theoretical model and practical data showed that using the method for denoise is superior to PWVD, FIR filtering and other multi-channel predictive denoise methods.
