李沛涛,武强,李卓融,等. 大地电磁单分量精准处理技术与深部致灾水体探测[J]. 煤田地质与勘探,2022,50(12):142−151. DOI: 10.12363/issn.1001-1986.22.05.0365
引用本文: 李沛涛,武强,李卓融,等. 大地电磁单分量精准处理技术与深部致灾水体探测[J]. 煤田地质与勘探,2022,50(12):142−151. DOI: 10.12363/issn.1001-1986.22.05.0365
LI Peitao,WU Qiang,LI Zhuorong,et al. Precise magnetotelluric single-component processing technology and detection of deep disaster-causing water body[J]. Coal Geology & Exploration,2022,50(12):142−151. DOI: 10.12363/issn.1001-1986.22.05.0365
Citation: LI Peitao,WU Qiang,LI Zhuorong,et al. Precise magnetotelluric single-component processing technology and detection of deep disaster-causing water body[J]. Coal Geology & Exploration,2022,50(12):142−151. DOI: 10.12363/issn.1001-1986.22.05.0365

大地电磁单分量精准处理技术与深部致灾水体探测

Precise magnetotelluric single-component processing technology and detection of deep disaster-causing water body

  • 摘要: 为了实现天然源单分量大地电磁技术对水文地质条件的精细探测,系统分析了大地电磁信号采集和处理中存在的问题,研究了地下富水区在大地电磁波上的响应特征;根据大地电磁测深理论和层次分析法,建立了富水性指数模型;在大量实验数据的基础上,拟合波形和岩性的对应关系,从波形上分维提取岩层的介电常数、弹脆性、密度、空隙率等物性信息,按有利于岩层富水的原则赋值和归一化处理,纳入富水性指数模型进行多维度耦合计算,可得到相应深度的富水性指数值。富水性指数包含了丰富的岩层物性信息,增强了富水区在大地电磁波上的响应幅度,减小了天然场源强度变化对信号采集和识别的影响。根据富水性指数模型,利用现代计算机及通信技术,设计了双层阵列扫频式平行板电容传感器和大地电磁探水仪,并开发出了相应的数据处理程序,探测深度分辨率可达0.1 m,能够从庞杂的电磁信号中自动辨识来自深部的微弱信号,实现从时变性场源中采集信号并计算出相对稳定的富水性指数。经现场试验,仪器可清楚划分含水层和隔水层,识别富水区和微小导水通道。该技术在矿井水害防治、废弃采空区修复治理、注浆堵水、深部水文地质条件探测等工程中具有广阔的应用前景。

     

    Abstract: In order to realize the fine detection of hydrogeological conditions by natural source single-component magnetotelluric technology, the problems of magnetotelluric signal acquisition and processing were systematically analyzed, and study was conducted for the response characteristics of underground water-rich area on magnetotelluric wave. Besides, water-richness index model was established according to the magnetotelluric sounding theory and analytic hierarchy process. Moreover, the corresponding relationship between waveform and lithology was fitted based on a large amount of experimental data, and the information on physical properties, such as the dielectric constant, elastic brittleness, density and porosity was extracted from the fractal dimension of waveform. Then, these data were assigned and normalized according to the principle favorable for water enrichment in rock strata, and further incorporated into the water-richness index model for multi-dimensional coupling calculation, thus obtaining the water-richness index value of the corresponding depth. The water-richness index contains a wealth of information on physical properties of rock strata, enhances the response amplitude of magnetotelluric wave in water-rich area, and thereby reduces the influence of change in intensity of natural field source on signal acquisition and recognition. According to the water-richness index model, double-layer array-sweep type parallel plate capacitive sensor and a magnetotelluric water detector were designed using the modern computer and communication technology, and the data processing program was developed accordingly, with the resolution of detection depth up to 0.1 m, thus capable of automatically identifying the weak signal from the deep places in the complex electromagnetic signals, and further realizing the acquisition of signal from the time-varying field source and calculating the relatively stable water-richness index. As shown by the field tests, the instrument could clearly distinguish the aquifers and water-impermeable layers, identify the water-rich areas and the tiny water-conducting channels. Generally, this technology has broad application prospects in water hazard prevention in mine, restoration and treatment of abandoned and old mined areas, grouting for water plugging, and detection of deep hydrogeological conditions.

     

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