Multi-Objective Optimization of the Hydrodynamic Performance of the Second Stage of a Multi-Phase Pump

Jun-Won Suh, Jin-Woo Kim, Young-Seok Choi, Jin-Hyuk Kim, Won-Gu Joo and Kyoung-Yong Lee
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Jun-Won Suh: Thermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan 31056, Korea
Jin-Woo Kim: Thermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan 31056, Korea
Young-Seok Choi: Thermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan 31056, Korea
Jin-Hyuk Kim: Thermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan 31056, Korea
Won-Gu Joo: Department of Mechanical Engineering, Yonsei University, Seoul 03722, Korea
Kyoung-Yong Lee: Thermal & Fluid System R&D Group, Korea Institute of Industrial Technology, Cheonan 31056, Korea

Energies, 2017, vol. 10, issue 9, 1-21

Abstract: Most multi-phase pumps used in crude oil production have been developed to satisfy certain pressure specifications. In the design of these pumps, the flow characteristics of the posterior stage are different from those of the prior stage. For this reason, the design of the second stage needs to be supplemented. To optimize performance in this stage, multi-objective optimization to simultaneously increase pressure and efficiency is reported in this article. Flow analyses of the single and multiple phases of the multi-phase pump were conducted by solving three-dimensional steady Reynolds-averaged Navier–Stokes equations. For the numerical optimization, two design variables related to the blade inlet angle were selected. The impeller and the diffuser blades were optimized using a systematic optimization technique combined with a central composite method and a hybrid multi-objective evolutionary algorithm coupled with a surrogate model. The selected optimal model yielded better hydrodynamic performance than the base model, and reasons for this are investigated through internal flow field analysis.

Keywords: helico-axial pump; multi-phase; multistage; gas volume fraction; interphase forces; numerical optimization; performance validation; surrogate model; design of experiment (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations: View citations in EconPapers (10)

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