期刊文献+

精密控制机械震源特征及信号检测方法 被引量:16

Characteristics and signal detection method of accurately controlled routinely operated signal system
下载PDF
导出
摘要 基于精密控制机械震源(ACROSS)信号与石油工业上的常规可控震源的特征差异,对ACROSS信号进行互相关、短时相关、相干和反褶积等四种方法处理分析,并分别从重复性、走时剖面、频谱特征以及信噪比等方面对处理结果进行对比分析研究。结果表明:互相关方法处理结果稳定性好,能较好地突出高能量频率成分,但不适用于在频谱特征里能量相差较大的窄带信号分析;ACROSS信号与环境背景噪声在频谱上有重叠,短时相关法会放大噪声的作用,其效果较相干和反褶积法显得略差一些;信噪比对相干和反褶积法处理结果的稳定性影响较大,相干和反褶积法适合于具有一定信噪比的ACROSS信号检测分析。 Based on the different characteristics of the conventional vibroseis with accurately controlled routinely operated sig- nal system(ACROSS), the ACROSS signal was processed by the cross-correlation, short-window correlation, cross-coher- ence and deconvolution. The comparative analysis on the processing results was carried out from repeatability, travel time profile, spectral characteristics, and signal-to-noise ratio (SNR). The results show that the cross-correlation method is char- acterized by good stability of processing results and can highlight the high-energy frequency components, but it is not applica- ble for analysis of the narrow frequency band signal with much difference in power spectral characteristics. There is an over- lap in the spectrum of ACROSS signal and the ambient background noise. Short-window correlation can enlarge the role of the noise, and the effect of the processing is less than cross-coherence and deconvolution. The SNR has a great impact on the processing results of cross-coherence and deconvolution. The cross-coherence and deconvolution method are suitable for ACROSS signal detection with a certain SNR.
出处 《中国石油大学学报(自然科学版)》 EI CAS CSCD 北大核心 2013年第1期50-55,69,共7页 Journal of China University of Petroleum(Edition of Natural Science)
基金 十一五国家科技支撑计划“汶川地震断裂带科学钻探” 国家自然科学基金项目(41204047) 中央级科研院所基本科研业务专项(DQJB11C04,DQJB12C09)
关键词 地球物理勘探 地震勘探 信号检测 精密控制机械震源(ACROSS) 互相关 短时相关 相干 反褶积 geophysical prospecting seismic prospecting signal detection accurately controlled routinely operated signalsystem (ACROSS) cross-correlation short-window correlation cross-coherence deconvolution
  • 相关文献

参考文献20

  • 1HASADA Yoko, KUMAGAI Hiroyuki, KUMAZAWA Mineo. Autoregressive modeling of transfer function in frequency domain to determine complex travel times [ J]. Earth Planets Space, 2001,53 ( 1 ) :3-11.
  • 2ALEKSEEV A S, CHICHININ I S, KORNEEV V A. Powerful low-frequency vibrators for active seismology [ J~. Bull Seismol Soc Am, 2005,95:1-17.
  • 3王洪体,庄灿涛,薛兵,赵翠萍,朱祖杨.精密主动地震监测[J].地球物理学报,2009,52(7):1808-1815. 被引量:35
  • 4IKUTA R, YAMAOKA K, MIYAKAWA K, et al. Con- tinuous monitoring of Propagation velocity of seismic wave using ACROSS [ J ]. Geophys Res Lett, 2002,29 ( 13 ) : 1627.
  • 5IKUTA R, YAMAOKA K. Temporal variation in the shear wave anisotropy detected using the accurately con- trolled routinely operated signal system [ J ]. J Geophys Res, 2004,109 : B09305.
  • 6SAIGA Atsushi, YAMAOKA Koshun, KUNITOMO Taka- hiro, et al. Continuous observation of seismic wave veloc- ity and apparent velocity using a precise seismic array and ACROSS seismic source[ J]. Earth Planets Space, 2006, 58:993-1005.
  • 7杨微,葛洪魁,王宝善,袁松湧,宋丽莉,贾玉华,李宜晋.由精密控制人工震源观测到的绵竹5.6级地震前后波速变化[J].地球物理学报,2010,53(5):1149-1157. 被引量:42
  • 8LI Zhi-wei, YOU Qing-yu, NI Si-dao, et al. Waveform retrieval and phase identification for seismic data from the CASS experiment [ J ]. Pure and Applied Geophysics, 2012.
  • 9KARAGEORGI E, CLYMER R, McEvilly T V. Seismo- logical studies at Parkfield ( Ⅱ ) : search for temporal vari- ations in wave propagation using Vibroseis [ J ]. Bull Seism Soc Am, 1992,82 : 1388-1415.
  • 10KORNEEV V A, MCEVILLY T V, KARAGEORGI E D. Seismological studies at Parkfield (Ⅷ): modeling the observed controlled-source waveform changes [ J ]. Bull Seism Soc Am, 2000,90:702-708.

二级参考文献54

共引文献132

同被引文献202

引证文献16

二级引证文献101

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部