Low-frequency evaluation and recovery of conventional geophone data and applications in seismic imaging
Zou Zhihui1,4, Zhang Yimeng2, Bian Aifei3, Zhou Huawei1,4,5, Ni Yudong6, Li Peiming2
1. College of Marine Geosciences, Ocean University of China, Qingdao, Shandong 266100, China;
2. BGP International, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China;
3. Institute of Geophysics and Geomatics, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China;
4. Key Laboratory of Submarine Geosciences and Prospecting Technology, Ministry of Education. Qingdao, Shandong 266100, China;
5. Department of Earth & Atmospheric Sciences, University of Houston, Houston, Texas 77004, USA;
6. Acquisition Technique Support Department, BGP Inc., CNPC, Zhuozhou, Hebei 072751, China
Abstract:Seismic low frequencies play an important role in increasing the resolution and fidelity of seismic imaging and/or inversion. Conventional seismic data often lacks useful low frequency components due to the limited frequency bandwidth of seismic source, geophone response and contamination of environmental noise. Estimating the useful low-frequency bandwidth of conventional seismic data is crucial step to compensate these signals before imaging process. Based on the signal-to-noise ratio of conventional seismic data and the natural frequency of geophone, data spectrum are divided into three non-overlap frequency bands called the conventional band, the low-frequency recoverable band, and the low-frequency unrecoverable band. The low-frequency recoverable and unrecoverable bands are defined as the lowest reliable frequency (fLR). According to the spectrum of real data acquired by different seismic recording systems, a low frequency recovery method is proposed to estimate the fLR and the low-frequency recovery parameters. A new seismic processing workflow is designed. Both broadband data and conventional data acquisition is simultaneously recorded for test. The field data tests show that the 4.5Hz geophone data still have acceptable signal-to-noise ratio after their down to 0.04Hz frequency is recovered while down to 2Hz can be recovered for conventional 10Hz-geophone data. Seismic imaging and velocity modeling with low-frequency-recovered data show obvious improvement in terms of fidelity and resolution.
邹志辉, 张翊孟, 卞爱飞, 周华伟, 倪宇东, 李培明. 常规检波器低频数据的评价与恢复及其在地震成像中的应用[J]. 石油地球物理勘探, 2016, 51(5): 841-849.
Zou Zhihui, Zhang Yimeng, Bian Aifei, Zhou Huawei, Ni Yudong, Li Peiming. Low-frequency evaluation and recovery of conventional geophone data and applications in seismic imaging. OGP, 2016, 51(5): 841-849.
She Deping,Wu Jimin,Li Pei et al. Application of low-frequency signals to imaging of deep layers in subbasalt areas. Journal of Hehai University (Natural Sciences),2006,34(1):83-87.
[5]
Tan Y,Helmberger D. A new method for determining small earthquake source parameters using short-period P waves. Bulletin of the Seismological Society of America,2007,97,1176-1195,doi:10.1785/0120060251.
[6]
Der Z,Shumway R and Hirano M.Time domain waveform inversion-A frequency domain view:How well we need to match waveforms? Bulletin of the Seismological Society of America,1991,81:2351-2370.
[7]
Bian A,Zou Z,Zhou H et al. Evaluation of multi-scale full waveform inversion with marine vertical cable data. Journal of Earth Science,2015,26(4):481-486,dol:10.1007/s12583-015-0566-3.
Teng Jiwen,Yang Hui. Deep physical and dynamical process for the formation and accumulation of oil and gas resources in the second deep space (5000~10000 m). Chinese Journal of Geophysics,2013,56(12):4164-4188.
Zou Zhihui,Zhou Huawei,Zhang Jianzhong. Imaging upper crustal structure of the Three Gorges region via teleseismic virtual reflection profiling. Chinese Journal of Geophysics,2015,58(2):411-423,doi:10.6038/cjg20150206.
[10]
Zou Zhihui,Zhou Huawei,Zhang Yimeng et al. Virtual-source imaging of basin structures using low-frequency teleseimsic data. SEG Technical Program Expanded Abstracts,2014,33:2368-2372.
[11]
Krohn C,Ronen S,Deere J et al. Introduction to this special section-seismic noise. The Leading Edge,2008,27:163-165.
[12]
Zhou H,Zou Z. Joint use of broadband and geophone sensors to quantify and retrieve low-frequencies. SEG/EAGE Summer Research Workshop on Low Frequencies:their value and challenges,Snowbird,Utah,2010.
[13]
朱加东. 噪音对现代仪器性能影响的分析. 物探装备,1998,8(4):27-30.
Zhu Jiadong. Analysis of noise influence on currently instrument. Equipment for Geophysical Prospecting,1998,8(4):27-30.
[14]
Zou Zhihui,Zhou Huawei,Jiang Fan et al. Assessing the reliability of low frequencies in geophone records. SEG Technical Program Expanded Abstracts,2010,29:121-126.
[15]
Zhang Yimeng,Zou Zhihui,Zhou Huawei. Estimating and recovering the low-frequency signals in geophone data. SEG Technical Program Expanded Abstracts,2012,31:1-5.
[16]
李国栋,汉泽西. 地震检波器频率响应特性的研究. 石油仪器,2009,23(4):11-13.
Li Guodong,Han Zexi. Research on geophones' frequency response characteristic. Petroleum Instruments,2009,23(4):11-13.
Scherbaum F. Of Poles and Zeros:Fundamentals of Digital Seismology. Dordrecht:Kluwer Academic Publishers, 2001.
[19]
Pavlis G and Vernon F. Calibration of seismometers using ground noise. Bulletin of the Seismological Society of America,1994,84(4):1243-1255.
[20]
Clinton J and Heaton T. Potential advantages of a strong-motion velocity meter over a strong-motion accelerometer. Seismological Research Letters,2002,73(3):332-342.
Tang Donglei,Yan Feng,Wang Xinquan. Determination of shooting depth under water table. Progress in Exploration Geophysics,2005,28(1):36-41.
[22]
Bian A,Yu W. Layer-stripping full waveform inversion with damped seismic reflection data. Journal of Earth Science,2011,22(2):241-249,doi:10.1007/s12583-011-0177-6.