The ability to detect leak is crucial in pipeline fluid transport operations. Leaks will inevitably occur in pipelines due to wide range of uncertainties. A good leak detection system should not only be able to detect leak but also accurately estimate the actual time of leak occurrence. This will enable proper estimation of the fluid loss, from the pipeline before shut-in of the pipeline or before remedial actions were carried out on the pipeline which ultimately will help quantified the degree of financial or environmental implications resulting from the leak incidence. This paper gives a new model for the estimation of the time of leak in natural gas pipeline. The idea for the model hinges on the notion that the time of response of most pipeline alarm are not necessarily the time actual time the leak occurred. Period of lapse depends on the accuracy, sophistication of the alarm system and volume of leak it is capable of detecting. Most alarm systems respond at later times than the time the leak occurred. Quantification of fluid loss volume demands that the actual time of leak occurrence be determined, this means that the time the leak occurred must be calculated accurately. The model was simulated using the Matlab software. The results show that the model is highly accurate when tested with field data.
| Published in | Petroleum Science and Engineering (Volume 3, Issue 2) |
| DOI | 10.11648/j.pse.20190302.15 |
| Page(s) | 68-73 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Leak Detection, Time of Leak, Pipeline Rupture, Pressure Wave
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APA Style
Obibuike Ubanozie Julian, Ekwueme Stanley Toochukwu, Ohia Nnaemeka Princewill, Igbojionu Anthony Chemazu, Igwilo Kevin Chinwuba, et al. (2019). Mathematical Model for Time of Leak Estimation in Natural Gas Pipeline. Petroleum Science and Engineering, 3(2), 68-73. https://doi.org/10.11648/j.pse.20190302.15
ACS Style
Obibuike Ubanozie Julian; Ekwueme Stanley Toochukwu; Ohia Nnaemeka Princewill; Igbojionu Anthony Chemazu; Igwilo Kevin Chinwuba, et al. Mathematical Model for Time of Leak Estimation in Natural Gas Pipeline. Pet. Sci. Eng. 2019, 3(2), 68-73. doi: 10.11648/j.pse.20190302.15
AMA Style
Obibuike Ubanozie Julian, Ekwueme Stanley Toochukwu, Ohia Nnaemeka Princewill, Igbojionu Anthony Chemazu, Igwilo Kevin Chinwuba, et al. Mathematical Model for Time of Leak Estimation in Natural Gas Pipeline. Pet Sci Eng. 2019;3(2):68-73. doi: 10.11648/j.pse.20190302.15
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Download@article{10.11648/j.pse.20190302.15,
author = {Obibuike Ubanozie Julian and Ekwueme Stanley Toochukwu and Ohia Nnaemeka Princewill and Igbojionu Anthony Chemazu and Igwilo Kevin Chinwuba and Kerunwa Anthony},
title = {Mathematical Model for Time of Leak Estimation in Natural Gas Pipeline},
journal = {Petroleum Science and Engineering},
volume = {3},
number = {2},
pages = {68-73},
doi = {10.11648/j.pse.20190302.15},
url = {https://doi.org/10.11648/j.pse.20190302.15},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.pse.20190302.15},
abstract = {The ability to detect leak is crucial in pipeline fluid transport operations. Leaks will inevitably occur in pipelines due to wide range of uncertainties. A good leak detection system should not only be able to detect leak but also accurately estimate the actual time of leak occurrence. This will enable proper estimation of the fluid loss, from the pipeline before shut-in of the pipeline or before remedial actions were carried out on the pipeline which ultimately will help quantified the degree of financial or environmental implications resulting from the leak incidence. This paper gives a new model for the estimation of the time of leak in natural gas pipeline. The idea for the model hinges on the notion that the time of response of most pipeline alarm are not necessarily the time actual time the leak occurred. Period of lapse depends on the accuracy, sophistication of the alarm system and volume of leak it is capable of detecting. Most alarm systems respond at later times than the time the leak occurred. Quantification of fluid loss volume demands that the actual time of leak occurrence be determined, this means that the time the leak occurred must be calculated accurately. The model was simulated using the Matlab software. The results show that the model is highly accurate when tested with field data.},
year = {2019}
}
TY - JOUR T1 - Mathematical Model for Time of Leak Estimation in Natural Gas Pipeline AU - Obibuike Ubanozie Julian AU - Ekwueme Stanley Toochukwu AU - Ohia Nnaemeka Princewill AU - Igbojionu Anthony Chemazu AU - Igwilo Kevin Chinwuba AU - Kerunwa Anthony Y1 - 2019/11/11 PY - 2019 N1 - https://doi.org/10.11648/j.pse.20190302.15 DO - 10.11648/j.pse.20190302.15 T2 - Petroleum Science and Engineering JF - Petroleum Science and Engineering JO - Petroleum Science and Engineering SP - 68 EP - 73 PB - Science Publishing Group SN - 2640-4516 UR - https://doi.org/10.11648/j.pse.20190302.15 AB - The ability to detect leak is crucial in pipeline fluid transport operations. Leaks will inevitably occur in pipelines due to wide range of uncertainties. A good leak detection system should not only be able to detect leak but also accurately estimate the actual time of leak occurrence. This will enable proper estimation of the fluid loss, from the pipeline before shut-in of the pipeline or before remedial actions were carried out on the pipeline which ultimately will help quantified the degree of financial or environmental implications resulting from the leak incidence. This paper gives a new model for the estimation of the time of leak in natural gas pipeline. The idea for the model hinges on the notion that the time of response of most pipeline alarm are not necessarily the time actual time the leak occurred. Period of lapse depends on the accuracy, sophistication of the alarm system and volume of leak it is capable of detecting. Most alarm systems respond at later times than the time the leak occurred. Quantification of fluid loss volume demands that the actual time of leak occurrence be determined, this means that the time the leak occurred must be calculated accurately. The model was simulated using the Matlab software. The results show that the model is highly accurate when tested with field data. VL - 3 IS - 2 ER -
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