尼日利亚中部海槽环境地震噪声足迹和频谱

C. N. C. Mbachi, E. Uko, C. L. Eze, Iyeneomie Tamunobereton-ari, Dorathy B. Umoetok, Allu A. Umbugdau
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引用次数: 1

摘要

从尼日利亚贝努埃海槽中部采集的二维(2D)地震数据中分析了环境噪声,以表征环境地震噪声。Sercel 428XL记录仪器部署在使用炸药爆炸源和检波器检波器的3条导线上。使用频率波数(FK)和野生振幅衰减(WAA)算法对采集的数据进行处理。主反射的主振幅在-20dB到-10dB之间,而环境地震噪声的主振幅则在-42dB到-3dB之间。一次反射的主频在6Hz至75Hz之间变化,而环境地震噪声的主频则在4Hz至70Hz之间变化。对噪声的分析显示,速度在400 ms-1和810 ms-1之间的两种不同的地滚模式都是色散的,波长(λ)为61.5m,峰值频率为6.5Hz。对所获得的被动噪声记录的分析表明,环境地震(背景)噪声水平(不包括源产生的平均91.56%的噪声)低于25µV,这是容限噪声水平极限。频率波数FK和WAA滤波器的组合有效地衰减了表面波,尤其是地滚和其他高振幅噪声,使初级反射非常可见并更好地增强。使用互相关(XC)方法从信噪比(SNR)分析估计的滤波幅度值远高于未滤波幅度的值,这表明当噪声从数据衰减时SNR最高,而不是当噪声算法不应用于数据时。这些地震噪声的属性将为其在
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AMBIENT SEISMIC NOISE FOOTPRINTS AND SPECTRA IN THE MIDDLE BENUE TROUGH, NIGERIA
Ambient noise was analysed from a two-dimensional (2D) seismic data acquired in the Middle Benue Trough, Nigeria for the purpose of characterizing the ambient seismic noise. Sercel 428XL recording instrument was deployed on 3 traverse lines where dynamite explosive sources and geophone detectors were used. The acquired data was processed using frequency wavenumber (FK) and wild amplitude attenuation (WAA) algorithms. The dominant amplitude of the primary reflection ranges between -20dB and -10dB, while those of the ambient seismic noise varies between -42dB and -3dB. The primary reflections have dominant frequency varying from 6Hz to 75Hz while that of ambient seismic noise varies between 4Hz and 70Hz. Analysis of the noise shows two distinct ground roll modes with velocities between 400 ms -1 and 810 ms -1 both of which are dispersive with wavelength (λ) of 61.5m and peak frequency at 6.5Hz. Analysis of passive noise records acquired showed that ambient seismic (background) noise level excluding source-generated noise average of 91.56% are below 25µV, which is the tolerance noise level limit. The combination of frequency wavenumber FK and WAA filters effectively attenuated the surface waves especially ground rolls and other high amplitude noise making the primary reflection very visible and better enhanced. The filtered amplitude values estimated from signal-to-noise (SNR) analysis using cross correlation (XC) method are much higher than the values of the unfiltered amplitudes indicating that SNR are highest when noises are attenuated from the data than when noise algorithm is not applied to the data. The attributes of these seismic noises will provide further information and solution for their suppression during
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