勘探阶段煤系地层测井资料的工程地质信息解译
发布时间：2018-08-11 12:56
【摘要】：长期以来,煤炭一直是我国的主要能源供应。随着浅部资源的开采殆尽,国内绝大多数的煤矿均已进入深部开采阶段。而深部开采面临着高地应力、高巷道变形等挑战,所以对深部煤系地层的工程地质条件进行分析评价对于煤炭的深部开采有着重要的现实意义。相比于获取煤系地层工程地质信息的常规方法,煤田地球物理测井方法具有测定方法简单,成本较低,携带信息量大的优势。因此,开展测井资料工程地质信息解译研究不仅具有一定的理论意义,也有较大的应用价值。本文通过对潘集外围勘查区勘查钻孔测井资料及岩芯的收集整理、岩样的物理力学测试,获取了几乎覆盖整个研究区的钻孔煤系地层岩石测井资料和工程地质信息,采用数理统计分析方法,建立了研究区煤系地层岩性的测井识别模型、岩石的密度和孔隙度等物理性质参数的测井预测模型、岩石单轴抗压强度和抗拉强度等强度参数的测井计算模型以及岩石弹性模量和泊松比弹性参数的测井预测模型,并对其进行验证分析,得出所建模型具有较高的预测精度。利用建立的岩石力学性质参数测井预测模型对未进行岩石力学参数测试的钻孔进行了力学参数预测,绘制了研究区煤系地层岩石力学参数剖面图以及13-1煤层顶板的抗压强度和弹性模量等值线图,结果表明能够利用建立的测井计算模型进行工程地质信息的预测。
[Abstract]:For a long time, coal has been the main energy supply of our country. With the depletion of shallow resources, most coal mines in China have entered the stage of deep mining. However, deep mining is faced with challenges such as high ground stress and high roadway deformation, so it is of great practical significance to analyze and evaluate the engineering geological conditions of deep coal measure strata for deep coal mining. Compared with the conventional methods for obtaining engineering geological information of coal measures, coal geophysical logging has the advantages of simple measurement, low cost and large amount of information. Therefore, the study of engineering geological information interpretation of logging data not only has certain theoretical significance, but also has great application value. In this paper, through the collection and arrangement of drilling logging data and cores in the peripheral exploration area of Panji, and the physical and mechanical tests of rock samples, the logging data and engineering geological information of borehole coal series strata covering almost the whole study area are obtained. The logging identification model of coal measure formation lithology and the log prediction model of physical property parameters such as density and porosity of rock are established by means of mathematical statistical analysis method. The logging calculation model of uniaxial compressive strength and tensile strength of rock and the log prediction model of elastic modulus of rock and Poisson's ratio are obtained. Based on the established well logging prediction model of rock mechanics parameters, the mechanical parameters of boreholes without rock mechanical parameters testing are predicted. The rock mechanics parameter profile of coal measure strata in the study area and the contour map of compressive strength and elastic modulus of the roof of coal seam 13-1 are drawn. The results show that the engineering geological information can be predicted by using the established well logging calculation model.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD163.1;P631.81
[Abstract]:For a long time, coal has been the main energy supply of our country. With the depletion of shallow resources, most coal mines in China have entered the stage of deep mining. However, deep mining is faced with challenges such as high ground stress and high roadway deformation, so it is of great practical significance to analyze and evaluate the engineering geological conditions of deep coal measure strata for deep coal mining. Compared with the conventional methods for obtaining engineering geological information of coal measures, coal geophysical logging has the advantages of simple measurement, low cost and large amount of information. Therefore, the study of engineering geological information interpretation of logging data not only has certain theoretical significance, but also has great application value. In this paper, through the collection and arrangement of drilling logging data and cores in the peripheral exploration area of Panji, and the physical and mechanical tests of rock samples, the logging data and engineering geological information of borehole coal series strata covering almost the whole study area are obtained. The logging identification model of coal measure formation lithology and the log prediction model of physical property parameters such as density and porosity of rock are established by means of mathematical statistical analysis method. The logging calculation model of uniaxial compressive strength and tensile strength of rock and the log prediction model of elastic modulus of rock and Poisson's ratio are obtained. Based on the established well logging prediction model of rock mechanics parameters, the mechanical parameters of boreholes without rock mechanical parameters testing are predicted. The rock mechanics parameter profile of coal measure strata in the study area and the contour map of compressive strength and elastic modulus of the roof of coal seam 13-1 are drawn. The results show that the engineering geological information can be predicted by using the established well logging calculation model.
【学位授予单位】：安徽理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TD163.1;P631.81
【参考文献】
相关期刊论文 前10条
1 赵庆彪;赵兵文;付永刚;南生辉;赵章;;大采深矿井地面区域治理奥灰水害关键技术研究[J];煤炭科学技术;2016年08期
2 蓝航;杜涛涛;;急倾斜特厚煤层开采冲击地压发生过程监测与分析[J];煤炭科学技术;2016年06期
3 康长豪;查文华;张亮;刘三;;深部开采高温控制理论与技术分析[J];煤矿安全;2016年05期
4 陈汝姣;;煤田地质勘探中测井的运用[J];中国科技信息;2016年09期
5 蓝航;陈东科;毛德兵;;我国煤矿深部开采现状及灾害防治分析[J];煤炭科学技术;2016年01期
6 王麒翔;;深部矿井瓦斯赋存非线性特征[J];煤矿安全;2015年10期
7 冯程;毛志强;石玉江;张海涛;李高仁;;测井曲线相关性分析及其在复杂润湿性油层识别中的应用[J];科学技术与工程;2015年21期
8 王剑;王s，
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