Research on the Energy Consumption Analysis Method of Low Production Wells Based on Cluster Analysis

Author:

Dong Qiao-ling,Sun Hai-ying,Sun Chun-long,Qi Xing,Wang Yang,Li Chun-hong,Hou Yu,Guo Zhen-chao,Wang Qing-bo

Publisher

Springer Nature Singapore

Reference15 articles.

1. Tan, C., Chen, J., et al.: Application prospect of big data mining technology in petroleum engineering. China Petrol. Chem. Ind. 1, 49–51 (2015)

2. Song, C.: Research and Application of Massive Data Mining Technology in Oilfield. Northeast Petroleum University, Daqing (2017)

3. Liu, J.: The Improved Algorithm of K-means Method and Its Applications in Data Analysis of Oil Recovery. Beijing University of Posts and Telecommunications, Beijing (2010)

4. Yu, B.: The Application of Data Mining Technology in the Fault Diagnosis. Northeast Petroleum University, Daqing (2015)

5. Ren, W.: Design and Implementation of Energy Consumption Analysis System for Mining Wells Based on Data Mining. Northeast Petroleum University, Daqing (2018)

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