基于测井资料的含水层富水性预测模型：以鄂尔多斯地区营盘壕井田为例
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摘要
针对鄂尔多斯营盘壕井田的水文地质试验资料少,难以进行有效的富水性评价的问题,本文通过研究声波测井数据与有效孔隙度的相关关系,分析有效孔隙度在平面上的展布,依据地质情况选择含水层厚度和有效孔隙度两个指标构成评价体系,运用熵权法建立砂岩含水层富水性预测模型。通过抽水试验钻孔对砂岩富水性的验证,其结果与富水性的预测结果相符,且富水性预测结果符合水文地质试验数据的验证。结果说明该模型简单可靠,实用价值较高,有效地实现了研究区域砂岩含水层的富水性分区,为含水层富水性评价工作提供了新的方法。
Owing to the lack of hydrogeological test data in Yingpanhao mine field in Ordos area,and it is difficult to evaluate water yield property effectively.The paper takes logging and experimental data to predict the distribution of effective porosity of the aquifer on the plane.According to the geological condition,two indexes of aquifer thickness and effective porosity are selected to form the evaluation system.The entropy weight method is used to build the two-indicator prediction model of water yield zone.The model is verified by pumping test and the actual data have shown that the prediction model of the water yield zone is reasonable.It shows that the model is simple,reliable and of high practical value.And it provides a new method for the evaluation of water yield property of aquifer.
Owing to the lack of hydrogeological test data in Yingpanhao mine field in Ordos area,and it is difficult to evaluate water yield property effectively.The paper takes logging and experimental data to predict the distribution of effective porosity of the aquifer on the plane.According to the geological condition,two indexes of aquifer thickness and effective porosity are selected to form the evaluation system.The entropy weight method is used to build the two-indicator prediction model of water yield zone.The model is verified by pumping test and the actual data have shown that the prediction model of the water yield zone is reasonable.It shows that the model is simple,reliable and of high practical value.And it provides a new method for the evaluation of water yield property of aquifer.
引文
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[9]代革联，周英，杨韬，等．多因素复合分析法对直罗组砂岩富水性研究[[J]．煤炭科学技术，2016,44(7):186-190.DAI Gelian,ZHOU Ying,YANG Tao,et al.Study on multifactor complex analysis method applied to watery sandstone in Zhiluo formation[J].Coal Science and Technology,2016,44(7):186-190.
[10]郎玉泉，陈同俊，马丽，等．煤层顶板砂岩富水性AVO预测技术[J]．煤田地质与勘探，2018(3):127-132.LANG Yuquan,CHEN Tongjun,MA Li,et al.Water content prediction of roof sandstone using AVO technology[J].Coal Geology and Exploration,2018(3):127-132.
[11]楚泽涵．声波测井原理[M]．北京：石油工业出版社，1987.
[12]郭团员．内蒙古自治区含煤地层分布概况[J]．西部资源，2016(4):63-64.GUO Tuanyuan.Distribution of coal-bearing strata in Inner Mongolia Autonomous Region[J].Western Resources,2016(4):63-64.
[13]国家煤矿安全监察局．煤矿防治水细则[M]．北京：煤炭工业出版社，2018.
[2]于景邮，刘志新，刘树才，等．深部采场突水构造矿井瞬变电磁法探查理论及应用[J]．煤炭学报，2007,32(8):818-821.YU Jingyou,LIU Zhixin,LIU Shucai,et al.Theoretical analysis of mine transient electromagnetic method and its application in detecting water burst structures in deep coal stope[J].Journal of China Coal Society,2007,32(8):818-821.
[3]肖乐乐，魏久传，牛超，等．掘进巷道构造富水性电法探测综合应用研究[J]．煤矿开采，2015,20(3):21-24.XIAO Lele,WEI Jiuchuan,NIU Chao,et al.Comprehensive application of water-rich electric detection of tunneling roadway structures[J].Coal Mining,2015,20(03):21-24.
[4]石守桥，魏久传，尹会永，等．济三煤矿煤层顶板砂岩含水层富水性预测[J]．煤田地质与勘探，2017,45(5):100-104.SHI Shouqiao,WEI Jiuchuan,YIN Huiyong,et al.Prediction of water abundance of sandstone aquifer in coal seam roof of Jisan coal mine[J].Coal Geology and Exploration,2017,45(5):100-104.
[5]尹会永，LILIANA Lefticariu，魏久传，等．蒋庄煤矿太原组煤层开采底板突水危险性分区分级研究[J]．中国矿业，2015,24(10):149-154.YIN Huiyong,LILIANA Lefticariu,WEI Jiuchuan,et al.Water inrush risk zoning and classification during coal seam mining in the Jiangzhuang coal mine,Shandong province[J].China Mining Magazine,2015,24(10):149-154.
[6]崔雪丽，李文平．综采顶板砂岩富水性多元信息预测评价[J]．煤田地质与勘探，2015,43(1):43-47.CUI Xueli,LI Wenping.Prediction and evaluation of waterrich multivariate information of fully mechanized roof sandstone[J].Coal Geology and Exploration,2015,43(1):43-47.
[7]李忠建，魏久传，李娜娜，等．应用多源信息复合法评价突水影响因素[J]．矿业安全与环保，2013,40(6):9-11.LI Zhongjian,WEI Jiuchuan,LI Nana,et al.Evaluation of factors affecting water inrush using multiple sources of information[J].Mining Safety and Environmental Protection,2013,40(6):9-11.
[8]卜庆林，陈成星，杨成超，等．煤层顶板岩层富水性分区指标及其涌水量预测[J]．山东科技大学学报：自然科学版，2005(3):28-31.BU Qingling,CHEN Chengxing,YANG Chengchao,et al.Zoning index of rich water-bearing roof strata and water inrush forecasting in coal seams[J].Journal of Shandong University of Science and Technology:Natural Science,2005(3):28-31.
[9]代革联，周英，杨韬，等．多因素复合分析法对直罗组砂岩富水性研究[[J]．煤炭科学技术，2016,44(7):186-190.DAI Gelian,ZHOU Ying,YANG Tao,et al.Study on multifactor complex analysis method applied to watery sandstone in Zhiluo formation[J].Coal Science and Technology,2016,44(7):186-190.
[10]郎玉泉，陈同俊，马丽，等．煤层顶板砂岩富水性AVO预测技术[J]．煤田地质与勘探，2018(3):127-132.LANG Yuquan,CHEN Tongjun,MA Li,et al.Water content prediction of roof sandstone using AVO technology[J].Coal Geology and Exploration,2018(3):127-132.
[11]楚泽涵．声波测井原理[M]．北京：石油工业出版社，1987.
[12]郭团员．内蒙古自治区含煤地层分布概况[J]．西部资源，2016(4):63-64.GUO Tuanyuan.Distribution of coal-bearing strata in Inner Mongolia Autonomous Region[J].Western Resources,2016(4):63-64.
[13]国家煤矿安全监察局．煤矿防治水细则[M]．北京：煤炭工业出版社，2018.
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