Estimation of rocks’ failure parameters from drilling data by using artificial neural network

Abstract Comprehensive and precise knowledge about rocks' mechanical properties facilitate the drilling performance optimization, and hydraulic fracturing design and reduces the risk of wellbore-related problems. This paper is concerned with the failure parameters, namely, cohesion and friction...

Full description

Bibliographic Details
Main Authors: Osama Siddig, Ahmed Farid Ibrahim, Salaheldin Elkatatny
Format: Article
Language:English
Published: Nature Portfolio 2023-02-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-30092-2