CFD ANALYSIS OF EROSION RATE IN OIL AND GAS PIPELINE INDUSTRY
Keywords:Sand Erosion, CFD, COMSOL© Multiphysics, Oil &gas industry
AbstractGenerally, crude oil has been transported via pipelines. But sand particles normally will be deposited on the bottom of pipeline due to the unsteady flow which it can lead to flow concern and erosion deformation of the pipe wall if not well treated. As well, this issue can cause the pipe destruction and burden the maintenance cost if not prevented in the early stage. Thus, this study was simulated to observe and predict the erosion rate at various parameter conditions with presence of solid particles in pipeline surface via COMSOL© Multiphysics 5.4 software. The model of k-ω turbulent and particle tracing were applied where several different potential impacting factors on the formation of erosion were investigated including fluids flow velocity, sand particle size, sand flow rates, pipe orientation and pipe diameter. The result simulation showed the area around the bend pipe had high predictions of erosion deformation where the maximum erosion rate of 732 mg/m2s was observed for 2-inch pipe diameter and 100mm particle size. Besides, it shows the erosion rate increased as the higher mass flow rate and fluid velocity. By applying these erosion models, it could be possible to foresee the maximum point of erosion deformation along the pipelines which can reduce maintenance cost and prevent flow assurance issues.
Finnie, I. 1960. Erosion of Surfaces by Solid Particles. Wear. 3: 87-103.
Bitter, J. G. A. 1963. A Study of Erosion Phenomena, Part II. Wear. 6(3): 1169-190.
Salama, M. M. 2000. An Alternative to API 14E Erosional Velocity Limits for Sand-Laden Fluids. Journal of Energy Resources Technology OTC. 122: 71-77.
Oka, Y. I., Okamura, K. and Yoshida, T. 2005. Practical Estimation of Erosion Damage Caused by Solid Particle Impact: Part 1: Effects of Impact Parameters on a Predictive Equation. Wear. 259(1-6): 95-101.
Zhang, Y., Reuterfors, E. P., Mclaury, B. S., Shirazi, S. A. and Rybicki, E. 2007. Comparison of Computed and Measured Particle Velocities and Erosion in Water and Airflows. Wear. 263: 330-338.
DNV. 2017. Recommended Practice DNV-RP-F101. DNV: Oslo, Norway.
Zakikhani, K., Nasiri F. and Zayed T. 2020. A Review of Failure Prediction Models for Oil and Gas Pipelines. Journal of Pipeline Systems Engineering and Practice. 11(1): 03119001.
Keating, A. and Nesic, S. 2001. Numerical Prediction of Erosion-corrosion in Bends. Corrosion Science NACE. 57(7).
Mazumder, Q. H., Shirazi, S. A., McLaury, B. S., Shadley, J. R. and Rybicki, E. F. 2005. Development and Validation of a Mechanistic Model to Predict Solid Particle Erosion in Multiphase Flow. Wear. 259(1-6): 203-207.
Khur, W. S. and Jian, Y. Y. 2019. CFD Study of Sand Erosion in Pipeline. Journal of Petroleum Science and Engineering. 176: 269-278.
Yang, L., Liang, Fu.H., Wang, H., Han, Y. and Ling, K. G. 2019. Detection of Pipeline Blockage using Lab Experiment and Computational Fluid Dynamic Simulation. Journal of Petroleum Science and Engineering. 183.
Homicz, G. F. 2004. Computational Fluid Dynamic Simulations of Pipe Elbow Flow. Sand Report Sand. 2004-3467, Sandia National Laboratories.
Chen, X., McLaury, B. S. and Shirazi, S. A. 2006. Numerical and Experimental Investigation of the Relative Erosion Severity between Plugged Tees and Elbows in Dilute Gas/Solid Two-Phase Flow. Wear. 261(7-8): 715-729.
Zhang, Y., McLaury, B. S., Shirazi, S. A. and Rybicki, E. F. 2010. A Two-dimensional Mechanistic Model for sand Prediction Including Particle Impact Characteristics. Corrosion Paper. 378, NACE 2010.
Zakikhani, K., Nasiri, F. and Zayed, T. 2020. A Review of Failure Prediction Models for Oil and Gas Pipelines. J. Pipeline Syst. Eng. Pract. 11(1).
Nur Tantiyani, A.O. and Nur Farahin, R. 2022. CFD Modelling of Sand Particle Transport in a Horizontal Multiphase 90o Pipeline Flow. Journal of Engineering Science & Technology. 17: 6.
Turner, N. 1991. Hardware and Software Techniques for Pipeline Integrity and Leak Detection Monitoring. Offshore Europe.
Parsi, M., Najmi, K., Najafifard, F., Hassani, S., McLaury, B. S. and Shirazi, S. A. 2014. A Comprehensive Review of Solid Particle Erosion Modeling for Oil and Gas Wells and Pipelines Applications. Journal of Natural Gas Science and Engineering. 21: 850-873.
Chen, J., Wang, Y., Han, X. L. R. H. S. and Chen, Y. 2015. Erosion Prediction of Liquid-particle Two-phase Flow in Pipeline Elbows via CFD–DEM Coupling Method. Powder Technology. 275: 182-187.
Chen, X., McLaury, B. S. and Shirazi, S. A. 2004. Application and Experimental Validation of a Computational Fluid Dynamics (CFD)-based Erosion Prediction Model in Elbows and Plugged Tees. Computers & Fluids. 33: 1251-1272.
Chen, Y., Zhang, H., Zhang, J., Liu, X., Li, X. and Zhou, J. 2015. Failure Assessment of X80 Pipeline with Interacting Corrosion Defects. Eng. Fail. Anal. 47: 67-76.
COMSOL Multiphysics Inc. 5.5 version 2020, COMSOL User’s Guide.
Faris, S. B., Thiana, A. S. and Siamack, A. S. 2021. Experimental and CFD Investigations of 45 and 90 Degrees Bends and Various Elbow Curvature Radii Effects on Solid Particle Erosion. Wear. 476: 03646.
Othayq, M., Bilal, F., Sedrez, T. and Shirazi, S. 2022. Numerical and Experimental Investigations of the Effect of Distance Between Two Elbows in Series in Gas-Solid Flows on Solid Particle Erosion.
Yan, H., Liu, Y., Kou, Z., Li, J.P.Z. and He, B. 2022. Numerical Simulation Analysis of Fluid-solid Erosion in Three-way Pipeline. 2022 IEEE 6th Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, China, 1595-1600.
How to Cite
Copyright of articles that appear in Jurnal Teknologi belongs exclusively to Penerbit Universiti Teknologi Malaysia (Penerbit UTM Press). This copyright covers the rights to reproduce the article, including reprints, electronic reproductions, or any other reproductions of similar nature.