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矿井水害音频电透视法监测水槽物理模拟试验研究

Study on physical simulation of mine water disaster monitoring by audio frequency electrical resistivity perspective method in water tank

  • 摘要: 矿井音频电透视法是采煤工作面水害隐患监测的主要方法之一,但在煤矿井下工况环境中,其监测电极容易发生锈蚀,导致监测数据质量下降,对监测结果成像解释造成不利影响。笔者开展矿井水害音频电透视法监测水槽物理模拟试验研究,建立尺寸相似比为1∶250的物理模型模拟底板水动态导升过程,通过与数值模拟结果进行对比,分析电极锈蚀对监测数据的影响特征,采用电极一致性校正方法对该影响加以校正,进一步通过三维电阻率反演成像验证校正方法的有效性。物理模拟与数值模拟结果显示,浅部小规模异常体和深部异常体(70 m深度)会导致接收曲线极大值在其中心位置附近略有降低,随深部异常体位置逐渐升高,接收曲线在异常体中心位置形成交汇,整体上呈现越来越明显的双驼峰状形态;电极锈蚀会导致物理模拟接收曲线出现锯齿状畸变或发生整体偏移,电极锈蚀导致的采集误差容易掩盖浅部小规模异常体和深部异常体的异常响应,并导致成像结果中出现假异常,对监测成果解释产生不利影响;采用电极一致性校正方法,通过对物理模拟试验数据分别按照共发射点和共接收点顺序进行二次排序和光滑滤波,可以消除电极锈蚀带来的采集误差,压制成像结果中的假异常,改善成像效果。此外,物理模拟接收曲线整体表现出左低右高的变化规律,导致成像结果中异常位置整体向右侧偏移,还需要通过进一步试验探索造成该现象的原因。

     

    Abstract: Mine audio frequency electrical resistivity perspective method is one of the main methods of water disaster monitoring in coal working face. However, its monitoring electrodes are easy to rust, leading to the decline of monitoring data quality, which adversely affects the imaging and interpretation of monitoring results. In this paper, study on physical simulation of mine water disaster monitoring by audio frequency electrical resistivity perspective method in water tank was carried out. A physical model with a similarity size ratio of 1∶250 was established to simulate the dynamic rising process of the floor water. The influence characteristics of electrode rusting on the monitoring data were analyzed by comparing the physical simulation results with the numerical simulation results. The electrode consistency correction method was used to suppress the influence of electrode rusting. Three-dimensional electrical resistivity inversion and imaging were carried out to verify the effectiveness of the electrode consistency correction method. The results of physical simulation and numerical simulation show that, shallow small-scale anomaly and deep anomaly (within depth of 70 m) will cause the maximum value of the receiving curves to decrease slightly near their centers; with the buried depth of the deep anomaly rising gradually, the receiving curves intersect at the center of the deep anomaly and show an increasingly obvious double hump shapes in a whole. Electrode rusting may cause zigzag distortion or overall deviation of the receiving curves. The acquisition error caused by electrode rusting may cover up the anomalous responses of shallow small-scale anomalies and deep anomalies, and cause false anomalies in imaging results, which adversely affects the interpretation of monitoring results. Electrode consistency correction method is used to solve the problem. By sorting and smoothing the monitoring data in the order of common transmitting points and common receiving points respectively, the acquisition error caused by electrode rusting is eliminated. After electrode consistency correction, false anomalies in imaging results are suppressed and imaging effect is also improved. In addition, the receiving curves of physical simulation are lower on the left and higher on the right, causing the positions of anomalies in the imaging results shifting to the right, which needs further experiments to explore the causes of the phenomenon.

     

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