Abstract
The difficulty in directly determining the failure mode of the submersible screw pump will shorten the life of the system and the normal production of the oil well. This thesis aims to identify the fault forms of submersible screw pump accurately and efficiently, and proposes a fault diagnosis method of the submersible screw pump based on random forest. HDFS storage system and MapReduce processing system are established based on Hadoop big data processing platform; Furthermore, the Bagging algorithm is used to collect the training set data. Also, this thesis adopts the CART method to establish the sample library and the decision trees for a random forest model. Six continuous variables, four categorical variables and fault categories of submersible screw pump oil production system are used for training the decision trees. As several decision trees constitute a random forest model, the parameters to be tested are input into the random forest models, and various types of decision trees are used to determine the failure category in the submersible screw pump. It has been verified that the accuracy rate of fault diagnosis is 92.86%. This thesis can provide some meaningful guidance for timely detection of the causes of downhole unit failures, reducing oil well production losses, and accelerating the promotion and application of submersible screw pumps in oil fields.
Funder
National Key Research and Development Program of China
Post-Graduate Innovative Research Project of Northeast Petroleum University
Publisher
Public Library of Science (PLoS)
Reference21 articles.
1. Current Situation and Development Trend of Artificial Lift Technology;H Liu;Acta Petrolei Sinica,2015
2. An Efficient Downhole Oil/Water-Separation System with Sucker-Rod Pump;MZ Jiang;SPE Production & Operations,2020
3. Rational Matching Injection and Production Pump for Rod Pump Injection-Production Systems;KX Dong;Chemistry and Technology of Fuels and Oils,2019
4. Dynamics analysis of rod and column of the single-well injection-production system with sucker-rod pump;TC Cheng;Earthquake Engineering and Engineering Dynamics,2019
5. Submersible direct-drive progressing cavity pump rodless lifting technology;ZX HAO;Petroleum Exploration and Development,2019
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献