An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design
Considering the impact of fluid flowing into pump on sucker rod pumping system (SRPS) dynamic behaviors, an improved SRPS model with new boundary model is presented, which is a fluid-solid coupled model with the interactions among surface transmission, rod string longitudinal vibration, plunger moti...
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Hindawi Limited
2018-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2018/4746210 |
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doaj-92615a7e02334ad5a28633ed36b1f0812020-11-25T01:15:01ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472018-01-01201810.1155/2018/47462104746210An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized DesignWeicheng Li0Shimin Dong1Xiurong Sun2School of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, ChinaSchool of Mechanical Engineering, Yanshan University, Qinhuangdao, 066004, ChinaConsidering the impact of fluid flowing into pump on sucker rod pumping system (SRPS) dynamic behaviors, an improved SRPS model with new boundary model is presented, which is a fluid-solid coupled model with the interactions among surface transmission, rod string longitudinal vibration, plunger motion, and fluid flow. A uniform algorithm is adopted instead of the mixed iteration algorithm for the surface transmission and downhole rod string vibration submodels, to reduce the difficulties of solving the entire SRPS model. The dynamic response comparison is executed between the improved model and the current model, and the results show that it will bring a calculation error on pump load and pump fullness if the progress of fluid flowing into the pump (PFFP) is ignored. Based on this improved model, a multitarget optimization model is proposed and the dynamic behavior of SRPS is improved with the optimized swabbing parameters.http://dx.doi.org/10.1155/2018/4746210 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weicheng Li Shimin Dong Xiurong Sun |
spellingShingle |
Weicheng Li Shimin Dong Xiurong Sun An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design Mathematical Problems in Engineering |
author_facet |
Weicheng Li Shimin Dong Xiurong Sun |
author_sort |
Weicheng Li |
title |
An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design |
title_short |
An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design |
title_full |
An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design |
title_fullStr |
An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design |
title_full_unstemmed |
An Improved Sucker Rod Pumping System Model and Swabbing Parameters Optimized Design |
title_sort |
improved sucker rod pumping system model and swabbing parameters optimized design |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2018-01-01 |
description |
Considering the impact of fluid flowing into pump on sucker rod pumping system (SRPS) dynamic behaviors, an improved SRPS model with new boundary model is presented, which is a fluid-solid coupled model with the interactions among surface transmission, rod string longitudinal vibration, plunger motion, and fluid flow. A uniform algorithm is adopted instead of the mixed iteration algorithm for the surface transmission and downhole rod string vibration submodels, to reduce the difficulties of solving the entire SRPS model. The dynamic response comparison is executed between the improved model and the current model, and the results show that it will bring a calculation error on pump load and pump fullness if the progress of fluid flowing into the pump (PFFP) is ignored. Based on this improved model, a multitarget optimization model is proposed and the dynamic behavior of SRPS is improved with the optimized swabbing parameters. |
url |
http://dx.doi.org/10.1155/2018/4746210 |
work_keys_str_mv |
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1725154894069891072 |