ANALYSIS OF LEAKAGE OF NON-VISCOUS FLOW IN A PIPE USING MASS FLOW RATE

Authors

Keywords:

Non-Viscous Flow, Fluid, Leakage and Mass Flow Rate

Abstract

A lot of work has been done on leakages in pipe. However, this study presents the analysis of transient flow parameters of non-viscous fluid within a pipe using mass flow rate. The model equation evolved was solved and considered under two situations of non-viscous flow with leakage and the case of no leakage in the pipe. The method of direct integration was applied and the results obtained were simulated and presented graphically using Maple 17 software. The analyses of the graphs show that the parameters considered in the simulation some of which are flow velocity, pressure, density, measured inlet mass flow, measured outlet mass flow and Reynolds number are useful tools in analysing leakages in a pipe notwithstanding the degree of leakage

Dimensions

Ajao, L. A., Adedokun, E. A., Nwishieyi, C. P., Adegboye, M. A., Agajo, J. &Kolo, J.G. (2018). An Anti-Theft Oil Pipeline Vandalism Detection: Embedded System Development. International Journal of Engineering Science Application, 2(1), 55–64.

Chinwuko E. C., Ifowodo H. &Umeozokwere A. O. (2016). Transient Model-Based Leak Detection and Localization Technique for Crude Oil Pipelines: A

Case of NPDC, Olomoro. Saudi Journal of Engineering and Technology, 2(3), 451-499.

Geiger, G. (2006). State-of-the-Art in Leak Detection and Localisation.Pipeline Technology 2006 Conference.University of Applied Sciences

Gelsenkirchen Germany.

Mutiu A. A., Wai-Keung F. and Aditya K. (2019). Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches, Sensors, 1(9), 25-48.

Olayiwola, R. O. (2011). A Mathematical model of insitu combustion as enhanced oil recovery technique in porous media.PhD Thesis LAUTECH, Ogbomoso, Nigeria.

Oyedeko, K. F. K. &Balogun, H. A. (2015). Modeling and Simulation of a Leak Detection for Oil and Gas Pipelines via Transient Model: A Case Study of the Niger Delta. Journal of Energy Technologies and Policy, 5(2), 16-27.

Perry, R. H., Green, D. W. & Maloney, J. O. (1999).Perry’s Chemical Engineers’ Handbook. 7th Edition, McGraw Hill, 6-37.

Puust, R. Dragan, S., Zoran, K. &Tiit, K. (2010). A review of methods for leakage management in pipe networks.Article in Urban Water Journal. 2(2), 45-98.

Tetzner, P. R. (2003). Model-Based Pipeline Leak Detection and Localization.Krohne Oil and Gas B.V. Dordrecht. 3R International (42) Heft. 455-460.

White, B., Kreuz, T. & Simons, S. (2019). Midstream. In Compression Machinery for Oil and Gas; Klaus, B., Rainer, K., Eds.; Gulf Professional Publishing: Houston, TX, USA. 387–400.

Xiao, Q.; Li, J., Sun, J., Feng, H. & Jin, S. (2018). Natural-gas pipeline leak location using variational mode decomposition analysis and cross-time–frequency spectrum.Measurement, 12(4), 163-172.

Published

2021-11-30

How to Cite

Yusuf, S. I., Ejeh, S., & Olayiwola, R. O. (2021). ANALYSIS OF LEAKAGE OF NON-VISCOUS FLOW IN A PIPE USING MASS FLOW RATE. Nigerian Journal of Physics, 30(2), 51-57. https://njp.nipngr.org/index.php/njp/article/view/94

Issue

Vol. 30 No. 2 (2021): Nigerian Journal of Physics - Vol. 30 No. 2

Section

Articles
Copyright & Licensing

How to Cite

Yusuf, S. I., Ejeh, S., & Olayiwola, R. O. (2021). ANALYSIS OF LEAKAGE OF NON-VISCOUS FLOW IN A PIPE USING MASS FLOW RATE. Nigerian Journal of Physics, 30(2), 51-57. https://njp.nipngr.org/index.php/njp/article/view/94

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