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[1]王颖南,邓奇根,刘明举,等.H2S脱除效率主控因素的广义灰色关联分析[J].中国安全生产科学技术,2019,15(6):24-29.[doi:10.11731/j.issn.1673-193x.2019.06.004]
　WANG Yingnan,DENG Qigen,LIU Mingju,et al.Generalized grey relational analysis on main controlling factors of hydrogen sulfide removal efficiency[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2019,15(6):24-29.[doi:10.11731/j.issn.1673-193x.2019.06.004]
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H2S脱除效率主控因素的广义灰色关联分析
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
15
期数:
2019年6期
页码:
24-29
栏目:
学术论著
出版日期:
2019-06-30

文章信息/Info

Title:
Generalized grey relational analysis on main controlling factors of hydrogen sulfide removal efficiency
文章编号:
1673-193X(2019)-06-0024-06
作者:
王颖南1; 邓奇根1; 2; 3; 刘明举1; 2; 吴喜发1
(1.河南理工大学 安全科学与工程学院，河南 焦作 454003;
2.河南省瓦斯地质与瓦斯治理重点实验室-省部共建国家重点实验室培育基地，河南 焦作 454003;
3.煤炭安全生产河南省协同创新中心，河南 焦作 454003)
Author(s):
WANG Yingnan1;  DENG Qigen1; 2; 3;  LIU Mingju1; 2;  WU Xifa1
(1.College of Safety Science and Engineering, Henan Polytechnic University, Jiaozuo Henan 454003, China;
2.State Key Laboratory Cultivation Base for Gas Geology and Gas Control (Henan Polytechnic University), Jiaozuo Henan 454003, China;
3.Collaborative Innovation Center of Coal Safety Production of Henan Province, Jiaozuo Henan 454003, China)
关键词:
H2S; 灰色理论; 综合关联度
Keywords:
hydrogen sulfide;  grey theory;  comprehensive correlation degree
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2019.06.004
文献标志码:
A
摘要:
为更好保护井下人员、设备安全，为井下H2S治理提供基础实验依据，通过脱除H2S气体实验装置，改变装置内的风速、NaHCO3溶液质量分数、H2S气体浓度来探究影响脱除H2S效率的主控因素。选取部分数据并基于灰色关联度分析，对变量的重要度进行排序。计算结果表明：风速、NaHCO3溶液质量分数、H2S气体浓度的综合关联度分别为0.568，0.543，0.541 5，并通过这3种因素的综合分析，得出影响H2S脱除效率因素大小顺序为：风速＞溶液质量分数＞H2S气体浓度；表明一定条件下，H2S脱除效率随风速及H2S气体浓度的增大而降低、随溶液质量分数增大而增大的规律。
Abstract:
In order to better protect the safety of downhole personnel and equipments, and provide the basic experimental basis for downhole H2S management, through using the experimental device for removing hydrogen sulfide gas, the wind speed, the mass fraction of sodium bicarbonate solution and the concentration of hydrogen sulfide gas in the device were changed to explore the main controlling factors affecting the efficiency of hydrogen sulfide removal. Partial data were selected, and the importance of variables was ranked based on the grey correlation analysis. The results showed that the comprehensive correlation degree of wind speed, mass fraction of solution and concentration of hydrogen sulfide gas were 0.568, 0.543 and 0.541 5 respectively, and through the comprehensive analysis of these three factors, the order of influencing factors on the removal efficiency of H2S in descending order was: wind speed, mass fraction of solution and concentration of hydrogen sulfide gas. The simulation tests showed that under certain conditions, the removal efficiency of H2S decreased with the increase of wind speed and concentration of hydrogen sulfide gas, and increased with the increase of mass fraction of solution.

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备注/Memo

备注/Memo:
收稿日期： 2019-03-20
* 基金项目： 国家自然科学基金项目（51774116，U1504403）；河南省科技公关项目（182102210320）；河南省博士后基金项目（001703031）
作者简介： 王颖南，硕士研究生，主要研究方向为煤矿瓦斯灾害预测（H2S方向）。
通信作者： 邓奇根，博士，副教授,主要研究方向为煤矿瓦斯灾害预测与防治。
更新日期/Last Update: 2019-07-09