摘要
为评价冯家塔煤矿4煤顶板山西组砂岩含水层富水性,选取了山西组富水砂岩厚度、岩心采取率、砂泥岩互层层数、脆塑性岩厚度比、砂岩岩性系数5个影响因素,利用序关系分析法求出影响山西组砂岩含水层富水性的主观权重,利用独立性权系数法求出客观权重,采用乘法合成法得出综合权重,构建了富水性评价模型。结果表明,冯家塔4煤顶板山西组砂岩含水层富水性较强和强富水区域主要分布在井田南部和西部,弱富水区域主要在井田北部及中部小部分区域。通过对比矿井物探、井下积水区及抽水试验的结果,预测模型准确率较高,与实际情况相符。
In order to evaluate the water-richness of sandstone aquifer in Shanxi Formation of No.4 coal roof in Fengjiata Coal Mine,five influencing factors,including Shanxi Formation water-rich sandstone thickness,core taking rate,interbedded layer number of sand and mudstone,brittle-plastic rock thickness ratio and sandstone lithology coefficient,were selected.The subjective weight affecting the water-richness in Shanxi Formation sandstone aquifer was calculated by sequence relation analysis method,the objective weight was calculated by independent weight coefficient method,and the comprehensive weight was obtained by multiplication synthesis method.The water-richness evaluation model was constructed.The results show that the in Shanxi Formation sandstone aquifer of No.4 coal roof in Fengjiata Coal Mine has strong and strong water-richness areas mainly distributed in the southern and western parts of the minefield,while the weak water-richness areas are mainly in the northern and central parts of the minefield.By comparing the results of mine geophysical prospecting,underground water accumulation areas,and pumping tests,the prediction model has a high accuracy and is consistent with reality.
作者
代革联
刘凯
牛超
李林
王超
许鑫
赵瑞平
刘路路
Dai Gelian;Liu Kai;Niu Chao;Li Lin;Wang Chao;Xu Xin;Zhao Ruiping;Liu Lulu(School of Geology and Environment,Xi'an University of Science and Technology,Xi'an 710054,China;Shaanxi Energy Fengjiata Mining Operation Co.,Ltd.,Yulin 719400,China;Shaanxi Yongming Coal Mine Co.,Ltd.,Yan'an 716000,China;Shandong Xincheng Engineering Consulting Co.,Ltd.,Binzhou 256600,China)
出处
《能源与环保》
2024年第10期1-6,20,共7页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
基金
国家自然科学基金资助项目(41807190)。
关键词
冯家塔煤矿
砂岩含水层
富水性
序关系分析
独立性权系数法
Fengjiata Coal Mine
sandstone aquifer
water-richness
sequence relation analysis method
independent weight coefficient method