Deepwater Oil-Based Drilling Fluid Systembased on Grey Wolf Optimized BP neural network

E3S Web of Conferences

Sui Dianxue¹  Yu Qiannan²  Sui Dianjie²  Zhan Mingwang²  Zhao Fulei² 

[1] Daqing Oilfield Co., Ltd. No.5 oil mine of No.4 oil production plant;Guangdong University of Petrochemical Technology;

关键词: grey wolf optimized;    neural network;    deepwater;    oil-based;    drilling flui;   

DOI  :  10.1051/e3sconf/202235201086

来源: DOAJ

【 摘 要 】

In this paper, a BP neural network model with 5-9-6 structure is constructed according to various fault gases and different fault types ofWater-based drilling fluid and synthetic-based drilling fluid. While there are few studies relating to oil-based drilling fluid, which is attributed to the potential toxicity of conventional oil-based drilling fluid to the marine environment. However, oil-based drilling fluid is excellent in protecting the borehole stability. To this end, an environmentally friendly deepwater oil-based drilling fluid was developed based on the traditional oil-based drilling fluid. With the advantages such as good borehole stability and good wettability, this drilling fluid will not pollute the marine environment, is resistant to high temperature, and protects hydrocarbon reservoir, which is of great significance for rational exploration and development of deep-sea resources.

【 授权许可】

Unknown