2019
DOI: 10.11648/j.ogce.20190704.12
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Analytical Model for the Estimation of Leak Location in Natural Gas Pipeline

Abstract: Mathematical model for leak location in natural gas pipeline has been developed in this paper. The model employs an isothermal steady state approach. Leak occurrence in the pipeline divides the pipeline into two sections-the upstream and downstream sections respectively. Analyses of leak incidences were carried out in the two pipeline sections giving rise to two equations being developed to address the leak localization. The first leak equation was developed by considering the upstream section of the pipeline … Show more

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Cited by 4 publications
(2 citation statements)
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“…Расчетам места утечки в газопроводах и скважинах на основе математической модели течения газа посвящены многочисленные публикации, начиная с основополагающей работы Васильева, Бондарева, Воеводина и Каниболотского [1], вплоть до настоящего времени, например, работы [2][3][4][5]. Успех решения этой задачи невозможен без создания адекватной математической модели течения газа в исследуемых условиях.…”
Section: Introductionunclassified
“…Расчетам места утечки в газопроводах и скважинах на основе математической модели течения газа посвящены многочисленные публикации, начиная с основополагающей работы Васильева, Бондарева, Воеводина и Каниболотского [1], вплоть до настоящего времени, например, работы [2][3][4][5]. Успех решения этой задачи невозможен без создания адекватной математической модели течения газа в исследуемых условиях.…”
Section: Introductionunclassified
“…Numerous publications have been devoted to calculations of the leak location in gas pipelines and wells based on a mathematical model of gas flow, starting with the fundamental work of Vasiliev, Bondarev, Voevodin and Kanibolotsky [1], up to the present, for example, papers [2][3][4][5]. Success in solving this problem is impossible without creating an adequate mathematical model of gas flow under the conditions under study.…”
Section: Introductionmentioning
confidence: 99%