首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Analysis of the Frequency Domain Water-level Deconvolution Method Based on Reservoir Airgun Source Data
Authors:You Xiuzhen  Li Jun  Lin Binhu  Huang Yandan  Wu Lihua and Guo Yang
Institution:Fujian Earthquake Agency, Fuzhou 350003, China,Fujian Earthquake Agency, Fuzhou 350003, China,Fujian Earthquake Agency, Fuzhou 350003, China,Fujian Earthquake Agency, Fuzhou 350003, China,Fujian Earthquake Agency, Fuzhou 350003, China and Fujian Earthquake Agency, Fuzhou 350003, China
Abstract:Based on the 2016 airgun experimental data of the Fujian Nanyi reservoir, we adopted the frequency domain water-level deconvolution method and cross-correlation time delay detection technique to study the influence of level scaling factor and the background noise level of the station on deconvolution calculation results, and analyze the effect of deconvolution on eliminating the influence of the source caused by different air-gun pressures. The results show that:(1) When the level scaling factor is smaller, the signal to noise ratio of the waveform after the deconvolution is smaller, and when the level scaling factor is over smaller, the identification error of travel time is greater. (2) When the SNR of the station record is higher, the recognition accuracy of travel time is higher, the influence of SNR on the reference station record is far greater than the far station, when the SNR of the far station record is more than 10, the error of travel time is within 6ms, but when the SNR of the reference station record is 30, the travel time error may reach to 20ms. (3) When the airgun source difference is big, the frequency domain water-level deconvolution method has better effect on eliminating the source influence, but the method error may be introduced when the source difference is small.
Keywords:Large volume airgun  Water-level deconvolution in frequency domain  Cross-correlation time delay  Green''s function
本文献已被 CNKI 等数据库收录!
点击此处可从《中国地震研究》浏览原始摘要信息
点击此处可从《中国地震研究》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号