A. Orga, Okure, E. Awheme, J. I. Obibuenyi, M. Anusi, C. Emelu
{"title":"天然气管道输送系统绝缘故障预测建模与检测","authors":"A. Orga, Okure, E. Awheme, J. I. Obibuenyi, M. Anusi, C. Emelu","doi":"10.9790/5736-1006015157","DOIUrl":null,"url":null,"abstract":"In this paper, a model/software that can predict insulation failure in a natural gas pipeline transmission system was developed by applying established principles of heat flow and gas dynamics. By using the model/software, one will not only know when insulation failure occurred but the location in the long distance pipeline where it occurs. This will reduce the problems associated with late detection, with its adverse consequences such as hydrate formation and pipeline blockage, and explosion and fire!","PeriodicalId":14488,"journal":{"name":"IOSR Journal of Applied Chemistry","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive Modeling and Detection of Insulation Failure in a Natural Gas Pipeline Transmission System\",\"authors\":\"A. Orga, Okure, E. Awheme, J. I. Obibuenyi, M. Anusi, C. Emelu\",\"doi\":\"10.9790/5736-1006015157\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, a model/software that can predict insulation failure in a natural gas pipeline transmission system was developed by applying established principles of heat flow and gas dynamics. By using the model/software, one will not only know when insulation failure occurred but the location in the long distance pipeline where it occurs. This will reduce the problems associated with late detection, with its adverse consequences such as hydrate formation and pipeline blockage, and explosion and fire!\",\"PeriodicalId\":14488,\"journal\":{\"name\":\"IOSR Journal of Applied Chemistry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IOSR Journal of Applied Chemistry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.9790/5736-1006015157\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IOSR Journal of Applied Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9790/5736-1006015157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predictive Modeling and Detection of Insulation Failure in a Natural Gas Pipeline Transmission System
In this paper, a model/software that can predict insulation failure in a natural gas pipeline transmission system was developed by applying established principles of heat flow and gas dynamics. By using the model/software, one will not only know when insulation failure occurred but the location in the long distance pipeline where it occurs. This will reduce the problems associated with late detection, with its adverse consequences such as hydrate formation and pipeline blockage, and explosion and fire!