85. An improved numerical simulation research for plunger pump in the condition of Newtonian fluid

Mingming Xing

School of Mechanical Engineering, Linyi University, Linyi 276000, China

E-mail: xingmingming2009@126.com

(Received 12 November 2015; received in revised form 1 February 2016; accepted 8 February 2016)

Abstract. The numerical simulation model of pump pressure is important to simulation and optimal design of sucker rod pumping system (SRPS). For now, the pump pressure is solved with the finite difference method, which is too excruciatingly slow to meet simulation and optimization of SRPS. Therefore, an effective differential quadrature method (DQM) is proposed to solve pump pressure in this paper. In the detail, considering oil-gas-water three-phase flow, the differential equation of pressure gradient is built, which matches solving pump pressure with DQM. Considering hydraulic loss and Newtonian fluid leakage, an improved numerical simulation model of pump pressure is established with the first order ordinary differential equation. The new numerical model is verified by comparing it with the available results, and good agreement is found. The results show that the plunger velocity is a key factor affecting hydraulic loss. With plunger velocity increasing, the pump pressure of upstroke is decreasing and the pump pressure of down‑stroke is increasing. With the pump clearance increasing, the delay time of standing valve is increasing on plunger upstroke, and the lead time of traveling valve is increasing on plunger down-stroke. In conclusion, the method that pump pressure is solved with DQM can solve practical engineering problem rightly and efficiently.

Keywords: sucker rod pumping system, Newtonian fluid, numerical simulation, pump pressure, differential quadrature method.


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Cite this article

Xing Mingming An improved numerical simulation research for plunger pump in the condition of Newtonian fluid. Journal of Measurements in Engineering, Vol. 4, Issue 1, 2016, p. 32‑42.


Journal of Measurements in Engineering. March 2016, Volume 4, Issue 1

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