AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

Computational fluid dynamic analysis for investigating the influence of pipe curvature on erosion rate prediction during crude oil production

Chukwugozie Jekwu Ejeh1( )Evans Annan Boah1Gbemisola Precious Akhabue2Chigozirim Cyprian Onyekperem3Josiah Ikechukwu Anachuna1Isaac Agyebi1
All Nations University College, Eastern Region, Ghana
Presbyterian University College, Eastern Region, Ghana
Centre of Excellence in Marine Engineering, Rivers State, Nigeria
Show Author Information

Abstract

The flow dynamics in pipes is a very complex system because it is largely affected by flow conditions. The transport of crude oil in pipelines within unconsolidated petroleum reservoirs is associated with presence of solid particles. These particles are often transported as dispersed phases during crude oil production and are therefore detrimental to the pipe surface integrity. This could lead to the occurrences of crevice corrosion due to pipe erosion. In relation to the above discussion, this paper is aimed at analyzing crude oil dynamics during flow through pipeline and identifying erosion hotspot for different pipe elbow curvatures. Reynolds Averaging Navier-Stokes (RANS) and Particle Tracing Modeling (PTM) approach were used. The focus is to simulate fluid dynamics and particle tracing, respectively. Post-processed results revealed that the fluid velocity magnitude was relatively high at the region with minimum curvature radius. The maximum static pressure and turbulence dissipation rate were experienced in areas with low-velocity magnitude. Also, the rate of erosive wear was relatively high at the elbow and the hotspot varied with pipe curvature. The particle flow rate, mass, and size were varied and it was found that erosion rate increased with an increase in particle properties.

References

 
Abdulla, A. 2011. Estimating erosion in oil and gas pipeline due to sand presence.
 
Agrawal, M., Khanna, S., Kopliku, A., Lockett, T. 2019. Prediction of sand erosion in CFD with dynamically deforming pipe geometry and implementing proper treatment of turbulence dispersion in particle tracking. Wear, 426-427: 596-604.
 
Al-Baghdadi, M. A., Resan, K. K., Al-Wail, M. 2017. CFD investigation of the erosion severity in 3D flow elbow during crude oil contaminated sand transportation. Engineering and Technology Journal, 35: 930-935.
 
Badr, H. M., Habib, M. A., Ben-Mansour, R., Said, S. A. M. 2002. Effect of flow velocity and particle size on erosion in a pipe with sudden contraction. In: Proceedings of the 6th Saudi Engineering Conference, 5: 79-88.
 
Banakermani, M. R., Naderan, H., Saffar-Avval, M. 2018. An investigation of erosion prediction for 15° to 90° elbows by numerical simulation of gas-solid flow. Powder Technol, 334: 9-26.
 
Bazilevs, Y., Takizawa, K., Tezduyar, T. E. 2015. New directions and challenging computations in fluid dynamics modeling with stabilized and multiscale methods. Math Mod Meth Appl S, 25: 2217-2226.
 
Bonelli, S., Marot, D. 2011. Micromechanical modelling of internal erosion. Eur J Environ Civ En, 15: 1207-1224.
 
Bounaouara, H., Ettouati, H., Ticha, H., Mhimid, A., Sautet, J. 2015. Numerical simulation of gas-particles two phase flow in pipe of complex geometry: Pneumatic conveying of olive cake particles toward a dust burner. Int J Heat Technol, 33: 99-106.
 
Egerer, C. P., Schmidt, S. J., Hickel, S., Adams, N. A. 2016. Efficient implicit LES method for the simulation of turbulent cavitating flows. J Comput Phys, 316: 453-469.
 
Ejeh, C. J., Akhabue, G. P., Onyekperem, C. C., Annan, E. B., Tandoh, K. K. 2019. Evaluating the impact of unsteady viscous flow and presence of solid particles on pipeline surfaces during crude oil transport using computational fluid dynamics analysis. Acta Mechanica Malaysia, 2: 20-27.
 
Eliyan, F. F., Kish, J. R., Alfantazi, A. 2017. Corrosion of new-generation steel in outer oil pipeline environments. J Mater Eng Perform, 26: 214-220.
 
Islam, M. A., Farhat, Z. N. 2014. Effect of impact angle and velocity on erosion of API X42 pipeline steel under high abrasive feed rate. Wear, 311: 180-190.
 
Kesana, N. R., Throneberry, J. M., McLaury, B. S., Shirazi, S. A., Rybicki, E. F. 2014. Effect of particle size and liquid viscosity on erosion in annular and slug flow. J Energy Resour Technol, 136: 012901.
 
López-López, J. C., Salinas-Vázquez, M., Verma, M. P., Vicente, W., Galindo-García, I. F. 2019. Computational fluid dynamic modeling to determine the resistance coefficient of a saturated steam flow in 90 degree elbows for high Reynolds number. J Fluids Eng, 141: 111103.
 
Murrill, B. J. 2016. Pipeline Transportation of Natural Gas and Crude Oil: Federal and State Regulatory Authority. Congressional Research Service.
 
Najmi, K., Hill, A. L., McLaury, B. S., Shirazi, S. A., Cremaschi, S. 2015. Experimental study of low concentration sand transport in multiphase air-water horizontal pipelines. J Energy Resour Technol, 137: 032908
 
Njobuenwu, D. O., Fairweather, M. 2012. Modelling of pipe bend erosion by dilute particle suspensions. Comput Chem Eng, 42: 235-247.
 
Okonkwo, P. C., Mohamed, A. M. A. 2014. Erosion-corrosion in the oil and gas industry: A review. Int J Metall Mater Sci Eng, 4: 7-28.
 
Parsi, M., Najmi, K., Najafifard, F., Hassani, S., McLaury, B. S., Shirazi, S. A. 2014. A comprehensive review of solid particle erosion modeling for oil and gas Wells and pipelines applications. J Nat Gas Sci Eng, 21: 850-873.
 
Peng, W., Cao, X. 2016. Numerical simulation of solid particle erosion in pipe bends for liquid-solid flow. Powder Technol, 294: 266-279.
 
Qi, H., Wen, D., Yuan, Q., Zhang, L., Chen, Z. 2017. Numerical investigation on particle impact erosion in ultrasonic-assisted abrasive slurry jet micro-machining of glasses. Powder Technol, 314: 627-634.
 
Saniere, A., Hénaut, I., Argillier, J. F. 2004. Pipeline transportation of heavy oils, a strategic, economic and technological challenge. Oil Gas Sci Technol, 59: 455-466.
 
Sanni, S. E., Olawale, A. S., Adefila, S. S. 2015. Modeling of sand and crude oil flow in horizontal pipes during crude oil transportation. J Eng, 2015: 1-7.
 
Takizawa, K., Tezduyar, T. E., Kanai, T. 2017. Porosity models and computational methods for compressible-flow aerodynamics of parachutes with geometric porosity. Math Mod Meth Appl S, 27: 771-806.
 
Veritas, D. N. 2007. Recommended practice RP O501 erosive wear in piping systems. Available at http://shaghool.ir/Files/EROSIVE-WEAR-IN-PIPING-SYSTEMS-RP-O501.pdf.
 
Wong, C. Y., Boulanger, J., Feng, Y., Wu, B. 2016. Experimental and discrete particle modelling of solid particle transportation and deposition in pipelines. In: Proceedings of the SPE Asia Pacific Oil & Gas Conference and Exhibition: SPE-182407-MS.
 
Wong, C. Y., Boulanger, J., Zamberi, M. S. A., Shaffee, S. N. A., Johar, Z., Jadid, M. 2014. CFD simulations and experimental validation of sand erosion on a cylindrical rod in wet gas conditions. In: Proceedings of the Offshore Technology Conference-Asia: OTC-24761-MS.
 
Yan, J., Korobenko, A., Tejada-Martínez, A. E., Golshan, R., Bazilevs, Y. 2017. A new variational multiscale formulation for stratified incompressible turbulent flows. Comput Fluids, 158: 150-156.
Experimental and Computational Multiphase Flow
Pages 255-272
Cite this article:
Ejeh CJ, Boah EA, Akhabue GP, et al. Computational fluid dynamic analysis for investigating the influence of pipe curvature on erosion rate prediction during crude oil production. Experimental and Computational Multiphase Flow, 2020, 2(4): 255-272. https://doi.org/10.1007/s42757-019-0055-5

701

Views

19

Crossref

21

Web of Science

21

Scopus

Altmetrics

Received: 14 September 2019
Revised: 23 October 2019
Accepted: 23 October 2019
Published: 04 January 2020
© Tsinghua University Press 2019
Return