Structural detection of goaf based on three-dimensional ERT technology

Nan Jia
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Abstract

Goaf, as an underground space formed after mining, the accurate detection of its structure is crucial to mine safety and the stability of underground engineering. Although traditional detection methods, such as drilling and seismic methods, can provide certain information, they have limitations in terms of accuracy and economy. Therefore, this study used three-dimensional electrical resistivity tomography technology to more accurately detect the structure of the goaf due to its high resolution and non-invasive characteristics. At start, the development mechanism of the goaf was analyzed, and then the resistivity three-dimensional tomography technology was used to detect the goaf in the selected area through numerical simulation. The results show that when the surface deformation degree reaches 1.38%, the corresponding error of electrical resistivity tomography technology detection is 1.74%. When the surface deformation degree is 0.58% and 1.36% respectively, the corresponding errors of Multi-physics field monitoring method and the downhole transient electromagnetic method are 1.97% and 1.84% respectively. In the comparison of false negative rate, when the detection area reaches 76.8% of the regional detection area, electrical resistivity tomography technology has the lowest false negative rate, with a value of 2.412%. The accuracy of different methods was tested in the Jinggong and Open-pit areas. When the detection time was 0.51 s and 0.23 s respectively, the ERT method had the highest detection rate, with values approaching 98.57% and 100.00% respectively. During the whole process, the accuracy of the DTEM method was 87.85% and 99.99% respectively, which was much lower than that of the ERT method. An analysis of the low-resistivity anomaly areas in the selected study area found that the distribution of the observed areas showed uneven continuity, and its resistivity was low and significantly different from the surrounding rock formations. The above results illustrate that the main advantage of 3D ERT technology is its ability to provide real-time, high-density resistivity data, thereby enabling precise capture of subtle structural changes in the goaf. Compared with traditional methods, 3D ERT not only reduces environmental interference, but also significantly improves the efficiency of data collection and the accuracy of analysis, providing a new technical means for mine safety management and underground engineering.
基于三维ERT技术的采空区结构探测
采空区作为开采后形成的地下空间,其结构的准确探测对矿山安全和地下工程的稳定至关重要。虽然传统的探测方法,如钻井和地震方法,可以提供一定的信息,但它们在准确性和经济性方面存在局限性。因此,本研究采用三维电阻率层析成像技术,以其高分辨率和非侵入性的特点,更准确地探测采空区结构。首先分析采空区发育机理,然后利用电阻率三维层析成像技术对选定区域采空区进行数值模拟探测。结果表明,当地表变形程度达到1.38%时,电阻率层析成像技术检测的相应误差为1.74%。当地表变形程度分别为0.58%和1.36%时,多物理场监测方法和井下瞬变电磁法的误差分别为1.97%和1.84%。在假阴性率的比较中,当探测面积达到区域探测面积的76.8%时,电阻率层析成像技术的假阴性率最低,为2.412%。在井公区和露天区试验了不同方法的准确性。当检测时间分别为0.51 s和0.23 s时,ERT方法的检出率最高,分别接近98.57%和100.00%。在整个过程中,DTEM法的准确率分别为87.85%和99.99%,远低于ERT法。对所选研究区的低阻异常区进行分析发现,观测区分布具有不均匀连续性,且其电阻率较低,且与围岩存在明显差异。以上结果表明,3D ERT技术的主要优势在于能够提供实时、高密度的电阻率数据,从而能够精确捕捉采空区的细微结构变化。与传统方法相比,三维ERT不仅减少了环境干扰,而且显著提高了数据采集效率和分析精度,为矿山安全管理和井下工程提供了新的技术手段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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