瓦斯量,gas content
1)gas content瓦斯量
1.Calculation method of coal and gas outburst intensity andgas content;煤与瓦斯突出强度和瓦斯量的计量方法
2)gas content瓦斯含量
1.Research on prediction ofgas contents base on RBF nerves network;基于RBF神经网络的瓦斯含量预测研究
2.New technology of outburst danger prediction bygas content;瓦斯含量法预测突出危险新技术
3.Discussion on incidence of underground roadway togas content of coal seam;巷道对煤层瓦斯含量的影响范围探讨
英文短句/例句
1.Mathematical geology technique and method for prediction of gas content and emission瓦斯含量及涌出量预测的数学地质技术与方法
2.Study on the Characteristics of Gas Content and Emission Based on the Information of Drilling基于钻探信息的煤层瓦斯含量及涌出特征研究
3.Research on Influencing Factors of the Gas Content in the Coal Bed with the Method of Desorption解吸法测定煤层瓦斯含量的影响因素研究
4.Study on Gas Content Distribution in No.8 Coal Seam of Lubanshan Mine Field鲁班山井田8号煤层瓦斯含量分布研究
5.Prediction of Gas Contents By Artificial Neural Network神经网络法分析煤层瓦斯含量的影响因素
6.Application of Core Drilling Collecting Rate to Evaluate Seam Gas Content and Distribution应用钻探岩芯采取率评价煤层瓦斯含量及分布
7.Predicting Model of Gas Content Based on Improved BP Neural Network基于改进BP神经网络的瓦斯含量预测模型
8.BP model of gas content prediction based on quantitative assessment of geological structure complexity基于构造复杂程度定量评价的瓦斯含量预测BP模型
9.Forecasting in-situ gas content using geological factors based on particle swarm optimization and least square support vector machine基于粒子群最小二乘支持向量机的瓦斯含量预测
10.Study on the Measurement Method of Coal Seam Primitive Gas Content and the Influencing Factors of Its Errors;煤层原始瓦斯含量测定方法及误差影响因素研究
11.Study on the Factors of Residual gas Content of Broken Anthracite of Sihe Coal Mine寺河矿无烟煤采落煤残余瓦斯含量变化规律研究
12.Technical Progress of Direct Measurement Method for Coal-seam Gas Content in Our Coal Mines我国煤矿井下煤层瓦斯含量直接测定法的技术进展
13.Energy Releasing Process and Noncontact Prediction of Coal and Gas Outburst含瓦斯煤突出的能量耗散过程及非接触预测
14.Prediction on Gas Emission and Gas Drainage base on Elevation根据标高预测瓦斯涌出量和瓦斯抽放
15.Study on the Gassy Coal THM Coupling Model and Coal and Gas Outburst Simulation含瓦斯煤THM耦合模型及煤与瓦斯突出模拟研究
16.Study on Width of Gas Drainage Zone in Coal Roadway Based on Gas Emission基于瓦斯涌出量的煤巷瓦斯排放带宽度研究
17.Application of Gas Geology Qualification Technology in the Prediction of Gas Emission瓦斯地质量化技术在瓦斯涌出预测中应用
18.Research on Constitutive Models and Instability Rules of Gas-saturated Coal含瓦斯煤岩本构模型与失稳规律研究
相关短句/例句
gas content瓦斯含量
1.Research on prediction ofgas contents base on RBF nerves network;基于RBF神经网络的瓦斯含量预测研究
2.New technology of outburst danger prediction bygas content;瓦斯含量法预测突出危险新技术
3.Discussion on incidence of underground roadway togas content of coal seam;巷道对煤层瓦斯含量的影响范围探讨
3)gas flow瓦斯流量
1.Grey forecasting method for thegas flow prediction from boreholes;灰色组合模型在钻孔瓦斯流量预测中的应用
2.Therefore the study on the change and trend ofgas flow has significant practical value.钻孔瓦斯流量直接关系着钻孔抽放煤层瓦斯涌出量及钻孔瓦斯涌出初速度的判定,因此研究钻孔瓦斯流量的变化及发展趋势具有较大实用价值。
4)gas emission瓦斯涌出量
1.Research on unascertained clusters on thegas 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 ofgas 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 predictinggas emission from coal faces采煤工作面瓦斯涌出量预测逐步回归方法
5)gas emission quantity瓦斯涌出量
1.Main controlled factors ofgas 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 forgas 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-sourcegas emission quantity prediction theory,the BP nerve network was applied to predict respectively thegas 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。
6)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 andgas 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 relativegas emission rate has decreased,and the increasing rate of the absolute gas emission is less than that of the output,but thegas 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 relativegas 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
延伸阅读
成交量、未平仓合约量与价格的关系成交量、未平仓合约量与价格的关系【成交且、未平仓合约，与价格的关系】成交量和未平仓合约量的变化会对期货价格产生影响，期货价格变化也会引起成交t和未平仓量的变化。因此，分析三者的变化，有利于正确预测期货价格走势。1.成交t、未平仓合约里增加，价格上升，表示新买方正大t收购，近期内价格还可能继续上涨。2.成交t、未平仓合约t减少，价格上升，表示卖空者大t补货平仓，价格短期内向上，但不久将可能回落。3.成交t增加，价格上升，但未平仓合的t减少，说明卖空者和买空者都在大t平仓，价格马上*下映。4.成交t、未平仓t增加，价格下肤，农明卖空者大t出咨合的，短期内价格还可能下跌，但如抛省过度，反可能使价格上升。5.成交t、未平仓t减少，价格下肤，农明大t买空者急于卖货平仓，姐期内价格将峨续下降。6.成交量增加、未平仓量和价格下跌，表明卖空者利用买空者卖货平仓导致价格下跌之际陆续补货平仓获利，价格可能转为回升。从上分析可见，在一般情况下，如果成交量、未平仓量与价格同向小幅变化，则其价格趋势可继续维持一段时间;如两者与价格反向变化时，价格走势可能转向。当然，这还需结合不同的价格形态作进一步的具体分析。
