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

Authors :
Sui Dianjie
Zhan Mingwang
Sui Dianxue
Zhao Fulei
Yu Qiannan
Source :
E3S Web of Conferences, Vol 352, p 01086 (2022)
Publication Year :
2022
Publisher :
EDP Sciences, 2022.

Abstract

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.

Details

Language :
English, French
ISSN :
22671242
Volume :
352
Database :
Directory of Open Access Journals
Journal :
E3S Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.10140b8e4b1291db340a20fccf13
Document Type :
article
Full Text :
https://doi.org/10.1051/e3sconf/202235201086