宽频拖曳式地震检波器的面波精细化探测成像
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作者单位:

1.重庆大学电气工程学院;2.重庆璀陆探测技术有限公司

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基金项目:

国家重点研发计划课题(2018YFC0406904)


Surface wave fine detection imaging of broadband towed seismic geophone
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Affiliation:

Chongqing University School of Electrical Engineering

Fund Project:

National Key Research and Development Program (2018YFC0406904)

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    摘要:

    传统的主动源面波仪采用锥型速度型检波器,具有频带窄、纵向分辨率低的缺点。传统装置移动测点需人工手动逐一移动检波器,无法低成本快速采集高密度面波数据,横向分辨率低。本文提出适应于硬化路面的拖曳式地震面波数据采集方法,设计重力耦合加速度检波器,线性、阵列拖曳式检波器串结构,实现高密度、小道距、高采样率、宽频数据采集。传统探测忽略了采样率对面波探测精度的影响。本文提出高采样提高面波探测精度的方法。模型数据和实测数据不同采样率的分析结果表明,高采样能压制噪声干扰增强低频能量,保证足够的探测深度。本文检波器采集的面波数据,能保证在足够的深度范围内精细地刻画速度层的变化,查明潜在的塌陷位置。将拖曳式地震检波器应用于城市道路塌陷探测,体现高效采集、精细探测的优势。

    Abstract:

    The traditional active source surface wave instrument adopts tapered velocity geophone, which has the disadvantages of a narrow frequency band and low longitudinal resolution. Traditional devices need to manually move the geophone one by one to move the measuring points, which is inefficient and unable to quickly acquire high-density surface wave data at low cost, resulting in low lateral resolution. This paper proposes a towed seismic surface wave data acquisition method that can adapt to the hardened road. A linear string and array towed gravity coupling accelerometer geophones are designed to realize the acquisition of high-density, small geophone spacing, high sampling rate, and broadband data. The influence of sampling rate on the detection accuracy of surface waves is ignored in traditional detection. This paper proposes that the high sampling method can improve the accuracy of surface wave detection. The analysis results of different sampling rates between model data and measured data show that high sampling can suppress noise interference, enhance the low-frequency energy, and ensure sufficient investigation depth. The surface wave data collected by the geophone in this paper, the variations of velocity layers can be described in sufficient depth, and the potential collapse location can be identified. The application of towed seismic geophone to urban road collapse detection embodies the advantages of efficient acquisition and fine detection.

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  • 收稿日期:2022-02-28
  • 最后修改日期:2022-04-25
  • 录用日期:2022-04-25
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