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Erosion Prediction of Bypass Seat in Oil Well Auto-fill Equipment Using CFD Approach

Journal of Advanced Research in Fluid Mechanics and Thermal Sciences
Volume 34 No. 1, June 2017, Pages 9-18

Ahmad Rizal Maharam1,*
1Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 81310 UTM Skudai, Johor, Malaysia
*Corresponding author: rizal.Maharam@halliburton.com

KEYWORDS

Auto-fill, CFD, erosion, multi-phase, casing running

ABSTRACT

Throughout the course completion of oil and gas wells, it is important to run casing in a wellbore that is normally laden with wellbore fluids. The wellbore fluid, or mud, serves two essential purposes. First, it helps to keep the inflow of formation fluids into the wellbore by exerting hydrostatic pressure on the formation. The hydrostatic pressure that is applied must be sufficiently high enough to keep fluid inflow but not high enough to crumble down the formation. During casing run, the impacts of surge and swab must be considered when deciding casing running rates to ensure the boundary between the hydrostatic pressure column and formation pressure keep at equilibrium. Second, the mud assists to circulate cuttings from the wellbore during the drilling commencement. Occasionally during running casing in the wellbore, it is important to have dependable auto-fill equipment to help limit the surge and swab effect. The concept is enabling wellbore fluids to enter the casing from the lower end of the casing is called auto-fill or self-fill. Filling the casing consequently from the lower end wipes out the requirement for manual filling the casing from surface while running in hole (RIH) and casing running efficiencies can increased. In the event that circulation time and additionally rate while RIH or well conditioning surpasses pre-determined mud weight and flowrate, erosion on the valve could happen, which lead to higher than anticipated auto-fill deactivation rates. Thus, this study aims to assess flow behavior and erosion characteristics of the auto-fill valve assembly at the highest acceptable predetermined flowrate parameter.

CITE THIS ARTICLE

MLA
Maharam, Ahmad Rizal. “Erosion Prediction of Bypass Seat in Oil Well Auto-fill Equipment Using CFD Approach.” Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 34.1 (2017): 9-18.

APA
Maharam, A. R. (2017). Erosion Prediction of Bypass Seat in Oil Well Auto-fill Equipment Using CFD Approach. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 34(1), 9-18.

Chicago
Maharam, Ahmad Rizal. “Erosion Prediction of Bypass Seat in Oil Well Auto-fill Equipment Using CFD Approach.” Journal of Advanced Research in Fluid Mechanics and Thermal Sciences 34, no. 1 (2017): 9-18.

Harvard
Maharam, A.R., 2017. Erosion Prediction of Bypass Seat in Oil Well Auto-fill Equipment Using CFD Approach. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences, 34(1), pp.9-18.

Vancouver
Maharam, AR. Erosion Prediction of Bypass Seat in Oil Well Auto-fill Equipment Using CFD Approach. Journal of Advanced Research in Fluid Mechanics and Thermal Sciences. 2017;34(1):9-18.

REFERENCES

[1] Shaughnessy, John Martin, William Thomas Daugherty, Rick L. Graff, and Todd Durkee. “More ultra-deepwater drilling problems.” In SPE/IADC Drilling Conference. Society of Petroleum Engineers, 2007.
[2] Chen, Xianghui, Brenton S. McLaury, and Siamack A. Shirazi. “Application and experimental validation of a computational fluid dynamics (CFD)-based erosion prediction model in elbows and plugged tees.” Computers & Fluids 33, no. 10 (2004): 1251-1272.
[3] Finnie, Iain. “Erosion of surfaces by solid particles.” wear 3, no. 2 (1960): 87-103.
[4] Finnie, Iain, and Y. H. Kabil. “On the formation of surface ripples during erosion.” Wear 8, no. 1 (1965): 60-69.
[5] Wong, Chong Y., Christopher Solnordal, Anthony Swallow, Steven Wang, Lachlan Graham, and Jie Wu. “Predicting the material loss around a hole due to sand erosion.” Wear 276 (2012): 1-15.
[6] Lester, D. R., L. A. Graham, and Jie Wu. “High precision suspension erosion modeling.” Wear 269, no. 5 (2010): 449-457.
[7] Fluent, Ansys. “12.0 User’s guide.” Ansys Inc (2009).
[8] Parslow, G. I., D. J. Stephenson, J. E. Strutt, and S. Tetlow. “Investigation of solid particle erosion in components of complex geometry.” Wear 233 (1999): 737-745.
[9] Chen, Xianghui, Brenton S. McLaury, and Siamack A. Shirazi. “Application and experimental validation of a computational fluid dynamics (CFD)-based erosion prediction model in elbows and plugged tees.” Computers & Fluids 33, no. 10 (2004): 1251-1272.