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利用煤田测井曲线精细预测潘集矿区深部煤层围岩抗压强度
引用本文:邵军战.利用煤田测井曲线精细预测潘集矿区深部煤层围岩抗压强度[J].安徽地质,2020(1):39-41,44.
作者姓名:邵军战
作者单位:安徽省煤田地质局勘查研究院
基金项目:安徽省地质勘查基金项目(项目编号2014-煤-1)资助。
摘    要:煤田测井曲线参数与岩石强度之间具有一定的相关性,可以对煤层围岩强度等参数进行预测。文章基于安徽省淮南煤田潘集煤矿外围煤炭详查(安徽省地勘基金项目)工程实践及所获成果资料,以淮南煤田潘集矿区深部1煤层底板泥岩为研究对象,利用岩石试样测试结果,建立测井曲线与抗压强度之间的相关关系,进行单因素分析,并构建多因素复合参数,分析其与岩石抗压强度相关性。结果表明,复合参数与岩石抗压强度高度相关,拟合公式预测结果与实际检验数据之间具有良好的一致性。所获得的岩石强度计算分布特征可为煤矿安全生产提供技术依据。

关 键 词:测井曲线  深部  预测  围岩抗压强度  煤层底板

PROGNOSIS OF COMPRESSIVE STRENGTH OF SURROUNDING ROCK OF DEEP COAL SEAM IN PANJI MINING AREA BY USING COAL FIELD LOGGING CURVE
SHAO Jun-zhan.PROGNOSIS OF COMPRESSIVE STRENGTH OF SURROUNDING ROCK OF DEEP COAL SEAM IN PANJI MINING AREA BY USING COAL FIELD LOGGING CURVE[J].Geology of Anhui,2020(1):39-41,44.
Authors:SHAO Jun-zhan
Institution:(Institute of Exploration Technology of Bureau of Coal Geology of Anhui Province,Hefei,Anhui 230088,China)
Abstract:There is a certain correlation between coal field logging parameters and rock strength,which can be used to prognosticate coal seam surrounding rock strength and other parameters.Based on the practice of detailed coal survey(of geological exploration fund project of Anhui Provicne)in the periphery of the Panji coal mine in the Huainan coalfield,Anhui Province,taking the mudstone at the floor of coal seam 1 in the Panji coal mine as the research object,by using the test results of rock samples,this paper establishes a correlation between logging curve and compressive strength,carries out single factor analysis,constructs multi-factor composite parameters and analyzes their correlation with compressive strength of rock.The results show that the composite parameters are highly correlated with the compressive strength of rock,and the results prognosticated by the fitting formula are in good agreement with the actual test data.The calculated distribution characteristics of rock strength can provide technical basis for coal mine safety production.
Keywords:logging curve  deep  prognosis  compressive strength of surrounding rock  coal floor
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