Abstract
The suction and operation parameters remarkably influence the performance and efficiency of the pumping unit system, the theoretical and experiential model selection methods being verified to be not effective on parameters adoption. The FKM cluster algorithm model selection is put forward to deal with huge data processing in model selection, the efficiency curves comparison indicates: the pumping unit model selection on a oilfield block keep more stable and higher efficiency. The efficiency membership to operation parameters combination is revealed to be the approach to best performance and high efficiency. The reasonable match of equipment and process saves power rather than pure equipment.
This work was supported by grants from National Major Special Project of Oil and Gas “Study and Promotion of the Self-Adaptive Control Technology of Drainage Based on Shaft Flow Field” (2016ZX05042003-001); National Major Special Project of Oil and Gas “Key Equipment Development of Integrated Development of Three Kind of Unconventional gas in One Well” (2016ZX05066004-002); “Fundamental Research Funds for the Central Universities” (16CX02004A); NSFC (51174224).
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Zhao, H. et al. (2017). Understanding Networking Capacity Management in Cloud Computing. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2016. Lecture Notes in Computer Science(), vol 10135. Springer, Cham. https://doi.org/10.1007/978-3-319-52015-5_4
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