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

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Sui, D., Zhan, M., Sui, D., Zhao, F., & Yu, Q. (2022). Deepwater Oil-Based Drilling Fluid Systembased on Grey Wolf Optimized BP neural network. In E3S Web of Conferences (Vol. 352). EDP Sciences. https://doi.org/10.1051/e3sconf/202235201086

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free