1) coal seam gas emission
煤层瓦斯涌出量
1.
Based on grey relation theory,a mathematical model of coal seam gas emission and its contributing factors has established.
基于灰色理论分析方法,建立了煤层瓦斯涌出量及其影响因素的数学模型,根据某煤矿14#煤层各影响因素的灰色关联度来对煤层瓦斯涌出情况进行预测;最后对推导结果进行了实际检验。
2) gas emission
瓦斯涌出量
1.
Research on unascertained clusters on the gas emission of the working face;
矿井工作面瓦斯涌出量的未确知聚类研究
2.
Research on the prediction of gas emission in working face based on neural network;
工作面瓦斯涌出量的神经网络模型预测研究
3.
Stepwise regression method for predicting gas emission from coal faces
采煤工作面瓦斯涌出量预测逐步回归方法
3) gas emission quantity
瓦斯涌出量
1.
Main controlled factors of gas emission quantity in oil-gas mine;
煤、油、气共存矿井瓦斯涌出量主控因素的确定
2.
Prediction for gas emission quantity of the working face based on LS-SVM;
基于LS-SVM的回采工作面瓦斯涌出量预测
3.
Based on the different-source gas emission quantity prediction theory,the BP nerve network was applied to predict respectively the gas emission quantity from the mining coal seam,neighboring coal seam and goaf of working face.
基于回采工作面瓦斯涌出分源涌出,利用人工神经网络分别预测开采煤层、邻近煤层、采空区3种来源的瓦斯涌出量;因3种来源瓦斯涌出量的影响因素不同,为了避免不相关因素的干扰,提高预测精度,确定整个预测体系由开采层、邻近层、采空区等3个瓦斯涌出量预测神经网络组成,对每个涌出源分别建立神经网络预测模型;最后采用Matlab中BP神经网络算法,针对实际矿井进行应用,预测误差小。
4) gas emission rate
瓦斯涌出量
1.
The Finite difference method was applied to simulate the dynamic variation of gas pressure in coal seam around a developing roadway and gas emission rate on the airway surface.
结果表明:当工作面以一定的速度向前掘进时,巷道周围瓦斯压力分布呈子弹头形状向前移动,掘进巷道周边煤层瓦斯压力随煤壁暴露时间的增长逐渐降低,工作面瓦斯涌出量呈锯齿状周期增加。
2.
With the caving mining method(comparing with the caving slicing method),the relative gas emission rate has decreased,and the increasing rate of the absolute gas emission is less than that of the output,but the gas emission rate is maximum in each production process during the drawing.
与顶分层开采对比， 放顶煤开采相对瓦斯涌出量降低， 绝对瓦斯涌出量增加倍数小于产量提高倍数， 各生产工序以放煤时瓦斯涌出量最大； 沿顶掘巷的平均瓦斯涌出量是沿底掘巷的１ 。
3.
Based on the theory of mathematical statistics,the regression analysis model between relative gas emission rate(q)and the thickness(H)and breakage degree(B)of coalbeds with same level of -450 m in Xiejiaji No.
利用数理统计学原理，建立了淮南谢二矿－４５０ｍ水平不同煤层的相对瓦斯涌出量与煤层厚度、煤层结构破碎程度的回归分析模型，表明在同一地质单元同水平条件下，煤层厚度越大，结构越破碎，其相对瓦斯涌出量越
5) Gas gushing quantity
瓦斯涌出量
1.
Based on the gas geology information of combined mining faces of Chenjiashan Coal Mine that contains coal and oil gas,it is researched that the main geologic and productive factors controlling gas gushing quantity of mining faces using the relating analysis method of gray system theory.
以煤系含油气的陈家山煤矿综采工作面瓦斯地质资料为依据 ,应用灰色系统理论中的关联分析方法 ,在研究影响采面瓦斯涌出量主控地质与生产因素的基础上 ,借助人工神经网络理论中的BP网络方法 ,建立了综采工作面瓦斯涌出量预测的BP网络模型。
6) gas emissing quantity
瓦斯涌出量
1.
Predict gas emissing quantity of mining coal face with improved Grey Markov model;
改进的灰色马尔柯夫模型预测采煤工作面瓦斯涌出量
2.
Bastd on dealing with the initial data of the gas emissing quantity of mining coal face by natural logarithm,the improved grey model(1,1) is built.
通过对回采工作面瓦斯涌出量原始数据取自然对数为基础,建立改进的GM(1,l)模型。
3.
The principle of gas bearing and the feature of gas emission at Xidewang mine are analysed and studied,and gas emissing quantity is predicted for the development of deep mining and the prevention of gas disaster at Xiandewang mine by use of the ratio method of gas emission to gas methane and the method of gas geologic interrelating factor.
分析了矿井瓦斯赋存规律 ,研究了瓦斯涌出特点 ,采用瓦斯涌出量与瓦斯含量比值法及瓦斯地质相关因素分析法 ,对矿井瓦斯涌出量进行了预测 ,为矿井深部的开采和灾害防治提供了科学依
补充资料：从地涌出
【从地涌出】
（杂语）法华经说时佛之神变也。法华经从地涌出品曰：“佛说是时，娑婆世界三千大千国土地皆震裂，而于其中有无量千万亿菩萨摩诃萨同时涌出。”
（杂语）法华经说时佛之神变也。法华经从地涌出品曰：“佛说是时，娑婆世界三千大千国土地皆震裂，而于其中有无量千万亿菩萨摩诃萨同时涌出。”
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条