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Coal mine geological hazardous body detection using surface ground penetrating radar velocity tomography

机译:利用地表穿透雷达速度层析成像技术探测煤矿地质灾害体

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Ground penetrating radar (GPR) velocity tomography has shown much promise in detection of geological hazardous body because of its ability of providing highly detailed images of wave velocity. In this paper, velocity tomography using surface GPR is presented tor detection harmful geology structure in underground coal mine. Compared with borehole radar, it avoids drilling and can be used to implement nondestructive detection with no influence on coal mining. Damping least square orthogonal triangle (LSQR) is employed to solve the large sparse velocity tomography equations. It is compared to the classical algebraic reconstruction technique (ART) and simultaneous iterative reconstruction technique (SIRT) using three synthetic geological models with representative disaster areas, namely, fault, cavity and water zone, considering both high and low velocity anomaly body. In each case, damping LSQR provides comparable or better results than ART and SIRT. The shape of the anomaly body has great influence on inversion accuracy. The simulation results verify the proposed approach can identify the location, scope and characters of disaster areas and faults parallel to transmission direction are better inverted.
机译:探地雷达(GPR)速度层析成像技术在探测地质危险物体方面显示出很大的希望,因为它能够提供非常详细的波速图像。本文介绍了利用地面GPR进行速度层析成像的方法,以检测地下煤矿的有害地质构造。与钻孔雷达相比,它避免了钻孔,可用于无损检测,而不会影响煤矿开采。阻尼最小二乘正交三角形(LSQR)用于求解大型稀疏速度层析成像方程。将其与经典代数重建技术(ART)和同时迭代重建技术(SIRT)进行比较,该模型使用三种具有代表性灾难区域的综合地质模型,即断层,腔体和水域,同时考虑了高低速异常体。在每种情况下,阻尼LSQR均可提供比ART和SIRT相当或更好的结果。异常体的形状对反演精度有很大影响。仿真结果表明,该方法能够较好地识别灾区的位置,范围和特征,并能较好地反转与传输方向平行的断层。

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