Modelling Flow Behavior of Gas Leakage from Buried Pipelineu

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  •   Petro Ndalila

  •   Yuxing Li

  •   Cuiwei Liu

Abstract

Risks in gas transportation are usually comprised of losses of the valuable gas, fire, explosion, and destruction to the environment. The safety of this infrastructure especially flammable gas pipelines is of great importance due to potential associated risks when leakage happens. An accurate understanding of the dispersion characteristics of the leaked gas from the underground pipe is of great importance. A gas leaking model from the buried pipeline was established based on computational fluid dynamics (CFD) technique, to simulate the situation. At the incidence of leakage, gas will propagate out and cause changes in flow behavior, which will prompt the detectors. The leakage position influences significantly much on the strength of leak signals to be detected at the ground surface. Under the simulation process, the double leakage pipeline model was involved. The variation of flow parameters inside the pipeline, outside pipeline, and the effect of leakage position were depicted and analyzed.


Keywords: gas flow simulation, leakage failure, porous media

References

A. G. Psyrras, N. K., & Sextos, “Safety of buried steel natural gas pipelines under earthquake-induced ground shaking: A review,” Soil Dyn. Earthq. Eng., pp. 254–277, 2018.

C. Zhang, L. Liu, X. Liao, X. Hu, F. Zhihong, and B. Li, “ANSYS Simulation Model of Buried Metal Pipeline Corrosion Detection,” in IOP Conf. Series: Earth and Environmental Science, 2020.

C. Liu, Y. Li, L. Fang, and M. Xu, “New leak-localization approaches for gas pipelines using acoustic waves,” Measurement, 2018.

R. S. Kangyin Dong, Xiucheng Dong, “How did the price and income elasticities of natural gas demand in China evolve from 1999 to 2015? The role of natural gas price reform,” Pet. Sci., pp. 685–700, 2019.

D. Ben-Mansour, R., Habib, M. A., Khalifa, A., Youcef-Toumi, K., & Chatzigeorgiou, “Computational fluid dynamic simulation of small leaks in water pipelines for direct leak pressure transduction,” Comput. Fluids, pp. 110–123, 2012.

D. Shantanu and S. Sarkar, “A review on different pipeline fault detection methods,” J. Loss Prev. Process Ind., vol. 41, pp. 97–106, 2016.

Y. Jifeng, D., Chengzhong, M., and Hongzhou, “Different Soil Particle-Size Classification Systems for Calculating Volume Fractal Dimension—A Case Study of Pinus sylvestris var Mongolica in Mu Us Sandy Land, China,” Appl. Sci., p. 1872, 2018.

J. Y. Yang, X. M., Drury, C. F., Reynolds, W. D. & Yang, “How do changes in bulk soil organic carbon content affect carbon concentrations in individual soil particle fractions?,” Scientific 6:27173. https://www.nature.com/articles/srep27173.pdf, 2016. .

W. Liu, Z. Zhang, J. Fan, D. Jiang, Z. Li, and J. Chen, “Research on gas leakage and collapse in the cavern roof of underground natural gas storage in thinly bedded salt rocks,” J. Energy Storage, vol. 31, no. 101669, 2020.

Z. Zhou, J. Zhang, X. Huang, J. Zhang, and X. Guo, “Trend of soil temperature during pipeline leakage of high-pressure natural gas: Experimental and numerical study,” Measurement, vol. 153, no. 107440, 2020.

K.-K. L. Seung-Wook Ha, Byeong-Hak Park, Seung Hyun Lee, “Experimental and numerical study on gaseous CO2 leakage through shallow-depth layered porous medium: implication for leakage detection monitoring,” in Energy Procedia, 2017, pp. 3033 – 3039.

A. Ebrahimi-Moghadam, M. Farzaneh-Gord, A. Arabkoohsar, and A. Moghadam, “CFD analysis of natural gas emission from damaged pipelines: Correlation development for leakage estimation,” J. Clean. Prod., vol. 199, pp. 257–271, 2018.

H. Fu, L. Yang, H. Liang, S. Wang, and K. Ling, “Diagnosis of the single leakage in the fluid pipeline through experimental study and CFD simulation,” J. Pet. Sci. Eng., no. 107437, 2020.

M. Parvini and E. Gharagouzlou, “Gas leakage consequence modeling for buried gas pipelines,” J. Loss Prev. Process Ind., vol. 37, p. 110e118, 2015.

C. Liu, Y. Li, L. Meng, W. Wang, F. Zhao, and J. Fu, “Computational fluid dynamic simulation of pressure perturbations generation for gas pipelines leakage,” Comput. Fluids, vol. 119, pp. 213–223, 2015.

E. E. Delahaye, C. H., & Alonso, “Soil heterogeneity and preferential paths for gas migration,” Eng. Geol., pp. 251–271, 2002.

A. Van Zyl, J. E., Alsaydalani, M. O. A., Clayton, C. R. I., Bird, T., & Dennis, “Soil fluidisation outside leaks in water distribution pipes – preliminary observations,” Proc. Inst. Civ. Eng. - Water Manag., pp. 546–555, 2013.

L. A. Ismail, M. I. M., Dziyauddin, R. A., Salleh, N. A. A., Muhammad-Sukki, F., Bani, N. A., Izhar, M. A.M., & Latiff, “A Review of Vibration Detection Methods Using Accelerometer Sensors for Water Pipeline Leakage,” IEEE Access, p. 1, 2019.

S. Yigang, L. and Haiou, “Experimental and Numerical Study on the Resistance Performance of an Axial Flow Cyclone Separator,” Math. Probl. Eng., pp. 1–9, 2015.

M. Agegnehu, A., Tilahun, “Modeling and Simulation of Real Gas Flow in a Pipeline,” J. Appl. Math. Phys., pp. 1652–1681, 2016.

M. Ebrahimi-Moghadam, A., Farzaneh-Gord, M., & Deymi-Dashtebayaz, “Correlations for estimating natural gas leakage from above-ground and buried urban distribution pipelines,” J. Nat. Gas Sci. Eng., pp. 185–196, 2016.

S. L. Ewing, R. E., Wang, J., & Weekes, “On the simulation of multicomponent gas flow in porous media,” Appl. Numer. Math., pp. 405–427, 1999.

J. Collins, R., and Boxall, “Influence of ground conditions on intrusion flows throught apertures in distribution pipes,” J. Hydraul. Eng., pp. 1052–1061, 2013.

A. I. Martin, “Hydrate Bearing Sediments - Thermal Conductivity, MSc. Thersis,” Georgia Institute of Technology, 2004.

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How to Cite
[1]
Ndalila, P., Li, Y. and Liu, C. 2020. Modelling Flow Behavior of Gas Leakage from Buried Pipelineu. European Journal of Engineering Research and Science. 5, 11 (Nov. 2020), 1343-1348. DOI:https://doi.org/10.24018/ejers.2020.5.11.2117.