摘要
为了识别煤层瓦斯抽采过程中瓦斯压力的空间分布特征,利用多场耦合模拟试验,通过最小二乘法残差平方和优化研究了煤层瓦斯压力变化与距抽采管最短距离之间的关系.基于遗传算法进一步优化了煤层瓦斯压力计算模型常量参数,重构及可视化了煤层瓦斯压力的空间分布.结果表明:该计算模型可用于卸压区抽采时相似煤储层空间各位置及不同抽采时间的瓦斯压力计算;煤层瓦斯压力与距抽采管最短距离呈指数衰减函数关系,其下降趋势与抽采时间和距抽采管距离相关;在煤层立体空间维度,垂直抽采管断面上的瓦斯压力场呈现出以抽采口为中心的圆环分布,平行抽采管的二维面上瓦斯压力场围绕抽采管呈椭圆环分布,其三维等压面呈漏斗状分布.
In order to identify the spatial distribution characteristics of gas pressure during coal seam gas drainage,the relationship between gas pressure in the coal seam and the shortest distance from the drainage pipe was studied using multi field coupling simulation test,the least square method of and residual sum of squares optimization.The calculation model of coal seam gas pressure was further optimized based on genetic algorithm,and the spatial distribution of coal seam gas pressure was reconstructed and visualized.The results show that the calculation model can be used to calculate the gas pressure at different positions and time in similar coal reservoir during gas drainage in pressure relief area.The relationship between the gas pressure and the shortest distance from the drainage pipe is an exponential decay function,and the trend of downward is related to the drainage time and the distance from the drainage pipe.In the vertical space dimension of coal seam,the gas pressure field on the section which is vertical to the drainage pipe presents a circle around the drainage pipe.The gas pressure field on the two-dimensional surface which is parallel drainage pipe is elliptical ring distribution around the drainage pipe,and its three-dimensional isobaric surface is funnel-shaped distribution.
作者
陈月霞
许江
褚廷湘
陈学习
CHEN Yuexia;XU Jiang;CHU Tingxiang;CHEN Xuexi(School of Emergency Technology and Management,North ChinaInstitute of Science and Technology,Langfang,Hebei 065201,China;State Key Laboratory of Coal Mine Disaster Dynamics and Control,Chongqing University,Chongqing 400044,China;School of Safety Supervision,North China Institute of Science and Technology,Langfang,Hebei 065201,China)
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2021年第3期606-612,共7页
Journal of China University of Mining & Technology
基金
河北省高等学校科学技术研究项目(QN2020524)
中央高校基本科研业务费项目(3142018028)
国家自然科学基金项目(51774114)。
关键词
瓦斯抽采
空间分布
遗传算法
瓦斯压力
gas extraction
spatial ditribution
genetic algorithm
gas pressure
