陈陆望, 王迎新, 欧庆华, 等. 2021. 考虑覆岩结构影响的近松散层开采导水裂隙带发育高度预测模型研究——以淮北煤田为例[J]. 工程地质学报, 29(4): 1048-1056. doi: 10.13544/j.cnki.jeg.2021-0319.
    引用本文: 陈陆望, 王迎新, 欧庆华, 等. 2021. 考虑覆岩结构影响的近松散层开采导水裂隙带发育高度预测模型研究——以淮北煤田为例[J]. 工程地质学报, 29(4): 1048-1056. doi: 10.13544/j.cnki.jeg.2021-0319.
    Chen Luwang, Wang Yingxin, Ou Qinghua, et al. 2021. Prediction model for development height of water-conducting fractured zone during mining near loose stratum considering influence of overburden structure:A case study of Huaibei coalfield[J]. Journal of Engineering Geology, 29(4): 1048-1056. doi: 10.13544/j.cnki.jeg.2021-0319.
    Citation: Chen Luwang, Wang Yingxin, Ou Qinghua, et al. 2021. Prediction model for development height of water-conducting fractured zone during mining near loose stratum considering influence of overburden structure:A case study of Huaibei coalfield[J]. Journal of Engineering Geology, 29(4): 1048-1056. doi: 10.13544/j.cnki.jeg.2021-0319.

    考虑覆岩结构影响的近松散层开采导水裂隙带发育高度预测模型研究——以淮北煤田为例

    PREDICTION MODEL FOR DEVELOPMENT HEIGHT OF WATER-CONDUCTING FRACTURED ZONE DURING MINING NEAR LOOSE STRATUM CONSIDERING INFLUENCE OF OVERBURDEN STRUCTURE: A CASE STUDY OF HUAIBEI COALFIELD

    • 摘要: 近松散层开采覆岩导水裂隙带沟通上覆含水层导致了顶板水害事故的发生。在其他开采因素相似时,工作面顶板覆岩结构的不同会致使导水裂隙带发育高度出现较大差异。为此,通过收集淮北煤田17例近松散层开采覆岩导水裂隙带发育高度实测数据作为训练样本,利用一行两列向量对近松散层工作面顶板覆岩结构进行量化,并联合煤层采厚、煤层倾角、工作面斜长、开采深度、松散层厚度共计6个影响因素作为输入数据,实测导水裂隙带发育高度作为输出数据,依据径向基函数神经网络建立了考虑覆岩结构影响的近松散层开采导水裂隙带发育高度预测模型。并将该预测模型应用于淮北煤田中的青东煤矿,经钻孔冲洗液漏失量与钻孔彩色电视观测验证,获得预测结果相对误差为3.3%,低于《“三下”开采规范》中经验公式计算误差19.2%。该方法为近松散层开采导水裂隙带发育高度的合理确定提供了理论支持。

       

      Abstract: In coal mining near the loose layer,the water-conducting fractured zone of overlying strata connected with the overlying aquifer can lead to the occurrence of roof water disaster. When other mining factors are similar,the roof overburden structure of different mining working faces can lead to the great difference in development height of water-conducting fractured zone. Therefore,17 measured data of the development height of water-conducting fractured zone in overlying strata during mining near the loose stratum in Huaibei coalfield were selected as prediction samples. The vectors of one row and two columns were selected to quantify the roof overburden structure of the mining panel near the loose layer. The five influencing factors include coal seam mining thickness,coal seam dip angle,panel length,mining depth and loose layer thickness as the input data. Combined with the five factors,the measured development height of water-conducting fractured zone was thought as the output data. Then,based on the neural network with radial basis function,a prediction model for the development height of water-conducting fractured zone during mining near the loose layer considering influence of overburden structure was established. The model was applied to the Qingdong coal mine in Huaibei coalfield. Through the verification of borehole flushing fluid leakage and borehole color TV observation,the relative error of the model prediction result is 3.3%,which is much lower than the error of 19.2% of the empirical formula calculation result in relative mining specification. This method provides theoretical support for the reasonable determination of the development height of water-conducting fractured zone during mining near loose layer.

       

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