Research on the hydraulic parameters and leak rate of natural gas flow in natural gas pipelines based on the methods of characteristic line and successive approximation

被引:1
作者
Hou, Qingmin [1 ]
Xiao, Guanghua [1 ]
Xu, Fangmin [2 ]
Eddine, Hassan Nasser [3 ]
机构
[1] Chengdu Vocat & Tech Coll Ind, Architectural Engn Coll, Chengdu 610218, Sichuan, Peoples R China
[2] Huber Ranner Environm Equipment Co Ltd, Taicang, Jiangsu, Peoples R China
[3] Republ Lebanon Minstry Ind, Ind Serv Dept, Beirut, Lebanon
关键词
Hydraulic parameters; method of characteristic line; normal and leak conditions; leak rate; natural gas pipelines; SENSOR; STRAIN;
D O I
10.3233/JCM-247151
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Pressure and flow rate are the most important hydraulic parameters in natural gas pipeline flow, and leak rate is the most crucial parameter after a leak accident occurs. The study of these parameters is vital to the safey of natural gas pipelines and risk assessment after accidents. In this research, based on the conservation laws universally applicable to the motion of objects, we establish the fundamental control equation group for natural gas flow. Then, for both normal and leak conditions of pipelines, we use the characteristic line method to derive the corresponding difference equations for the fundamental control equations, thereby providing calculation methods for pressure and flow rate. Finally, we investigate the calculation method of natural gas pipeline leak rate under different leak aperture sizes, and validate the accuracy of this method through simulation examples.
引用
收藏
页码:1649 / 1664
页数:16
相关论文
共 21 条
[1]   Hazard analysis of failure of natural gas and petroleum gas pipelines [J].
Bariha, Nilambar ;
Mishra, Indra Mani ;
Srivastava, Vimal Chandra .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2016, 40 :217-226
[2]  
Brown KW, 2015, Journal of Natural Gas Science and Engineering, V24, P106
[3]   Optimization of natural gas pipeline transportation using ant colony optimization [J].
Chebouba, A. ;
Yalaoui, F. ;
Smati, A. ;
Amodeo, L. ;
Younsi, K. ;
Tairi, A. .
COMPUTERS & OPERATIONS RESEARCH, 2009, 36 (06) :1916-1923
[4]  
Chen Z, 2015, Measurement, V70, P1
[5]  
Demissie A, 2017, Computers & Chemical Engineering, V100
[6]   Experimental study of leakage detection of natural gas pipeline using FBG based strain sensor and least square support vector machine [J].
Hou, Qingmin ;
Jiao, Wenling ;
Ren, Liang ;
Cao, Huizhe ;
Song, Gangbing .
JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2014, 32 :144-151
[7]   Application of FBG Based Sensor in Pipeline Safety Monitoring [J].
Jiang, Tao ;
Ren, Liang ;
Jia, Ziguang ;
Li, Dongsheng ;
Li, Hongnan .
APPLIED SCIENCES-BASEL, 2017, 7 (06)
[8]   A simple model for the release rate of hazardous gas from a hole on high-pressure pipelines [J].
Jo, YD ;
Ahn, BJ .
JOURNAL OF HAZARDOUS MATERIALS, 2003, 97 (1-3) :31-46
[9]  
Jones MR, 2017, Journal of Loss Prevention in the Process Industries, V48, P214
[10]   Real gas flow simulation in damaged distribution pipelines [J].
Kostowski, Wojciech J. ;
Skorek, Janusz .
ENERGY, 2012, 45 (01) :481-488