2016
DOI: 10.1016/j.procs.2016.09.384
|View full text |Cite
|
Sign up to set email alerts
|

Analysis of the Impact of Operating Conditions of Pumps on their Efficiency Indicators Using Fuzzy Clustering Algorithm

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

2019
2019
2020
2020

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 3 publications
0
1
0
Order By: Relevance
“…To establish the relationship between the performance indicators of the pump and the relevant factors characterizing the operating conditions of the wells, we have classified the operating conditions according to several criteria using a fuzzy cluster analysis program, described in [17,18]. Water cutting, fluid flow rate, mechanical impurity level and productivity factor (input variables) for Karazhanbas deposit were selected as signs for which clustering was carried out, the turnaround time and deluivery rate were taken as output variables [19].…”
mentioning
confidence: 99%
“…To establish the relationship between the performance indicators of the pump and the relevant factors characterizing the operating conditions of the wells, we have classified the operating conditions according to several criteria using a fuzzy cluster analysis program, described in [17,18]. Water cutting, fluid flow rate, mechanical impurity level and productivity factor (input variables) for Karazhanbas deposit were selected as signs for which clustering was carried out, the turnaround time and deluivery rate were taken as output variables [19].…”
mentioning
confidence: 99%