Suppr超能文献

煤层瓦斯压力测定判别方法:物理实验与模型开发

Discrimination Method of Gas Pressure Measurement in Coal Seams: Physical Experiment and Model Development.

作者信息

Wei Chengmin, Zhang Lin, Hao Min, Nie Yao, Wang Ruiying

机构信息

School of Emergency Management and Safety Engineering, China University of Mining and Technology, Beijing 100083, China.

College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China.

出版信息

ACS Omega. 2022 Aug 16;7(34):30412-30419. doi: 10.1021/acsomega.2c03782. eCollection 2022 Aug 30.

Abstract

Coal seam gas pressure is a key parameter of gas accident control and gas drainage. At present, there are some problems in field pressure measurement, such as long period, and there is often a need to drill more holes to ensure the reliability of pressure measurement. In this research, a physical gas pressure measurement experiment in a coal sample borehole was carried out, and a mathematical model of gas pressure evolution with time was constructed. Based on the OpenFOAM platform and C++ language, a numerical solver was developed, and the mathematical model was verified by the data of gas pressure in coal seam boreholes. The results show that the evolution process of gas pressure in coal seam boreholes can be divided into two stages. In the first stage, the gas pressure increases rapidly, and the pressure change rate decreases continuously. In the second stage, the gas pressure is slow and stable, and the pressure change rate tends to 0. The correlation coefficients between the mathematical model and the field-measured data are more than 0.94, and the calculation and prediction accuracy are high. Therefore, the model can be used to verify the field data during pressure measurement, which has better field significance and application value.

摘要

煤层瓦斯压力是瓦斯事故防治和瓦斯抽采的关键参数。目前,现场压力测量存在一些问题,如测量周期长,且往往需要多打钻孔以确保压力测量的可靠性。本研究开展了煤样钻孔内的物理瓦斯压力测量实验,并构建了瓦斯压力随时间演化的数学模型。基于OpenFOAM平台和C++语言,开发了数值求解器,并利用煤层钻孔瓦斯压力数据对数学模型进行了验证。结果表明,煤层钻孔瓦斯压力演化过程可分为两个阶段。第一阶段,瓦斯压力快速上升,压力变化率持续减小。第二阶段,瓦斯压力缓慢且稳定,压力变化率趋于0。数学模型与现场实测数据的相关系数均大于0.94,计算和预测精度较高。因此,该模型可用于压力测量时现场数据的验证,具有较好的现场意义和应用价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cce8/9434624/86d27ca85570/ao2c03782_0002.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验