Research on Intelligent Diagnosis and Decision-Making Method for Oilfield Water Injection System Faults

Author:

Zhang Ruijie1ORCID,Yang Wenting1ORCID,Li Jie1,Gao Shengliang1,Wang Yan1,Gao Sheng1

Affiliation:

1. School of Mechanical Science and Engineering, Northeast Petroleum University, Daqing, China

Funder

U.S.-China Clean Energy Research Centre Joint Work Plan for Research Projects on Water Energy Technologies: Non Traditional Water Resources Treatment and Management

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference34 articles.

1. Issues and energy-saving analysis of oilfield water injection pipeline network;Zhan;Chem. Eng. Manage.,2020

2. Research status and prospects of computational intelligence in big data analysis;Guo;J. Softw.,2015

3. On the development and future direction of water injection;Han;China New Technol. New Products,2013

4. Integrated water suspension risk assessment using fault tree analysis and genetic algorithm in water supply systems

5. Approximate dynamic fault tree calculations for modelling water supply risks

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