Application of GA-BP neural network algorithm in killing well control system-Reference-Cited by-同舟云学术

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Application of GA-BP neural network algorithm in killing well control system

Published:2020-08-29 Issue:3 Volume:33 Page:949-960
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Liang Haibo^ORCID,Wei Qi,Lu Dengyun,Li Zhiling

Funder

Sichuan Science and Technology Innovation and Venture Seedling Project

graduate innovation fund of southwest petroleum university

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-020-05298-4.pdf

Reference22 articles.

1. Zhang J (2016) Discussion on the scheme of dealing with overflow well in drilling construction. Sci Technol Inf 14(5):44–45. https://doi.org/10.16661/j.cnki.1672-3791.2016.05.044

2. Deng S(2018) Application of throttle kill manifold in well control technology. Technol Market 25(12):93–94. https://doi.org/10.3969/j.issn.1006-8554.2018.12.0

3. Nan S (2017) Study on two kinds of conventional well killing. Petrochem Technol. https://doi.org/10.3969/j.issn.1006-0235.2017.04.157

4. Lage ACV, Nakagawa E, Cordovil Y (1994) A. Well Control Procedures in DeepWater. In: SPE Latin America/Caribbean petroleum engineering conference. Society of Petroleum Engineers

5. Christman S, Kelly A, Plaisance M, et al (1999) An overview of the IADC deep water well control guidelines. In: SPE/IADC drilling conference

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