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

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 angle wh...

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Detalles Bibliográficos
Autores principales: Siddig, Osama, Ibrahim, Ahmed Farid, Elkatatny, Salaheldin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950081/
https://www.ncbi.nlm.nih.gov/pubmed/36823434
http://dx.doi.org/10.1038/s41598-023-30092-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9950081/
https://www.ncbi.nlm.nih.gov/pubmed/36823434
http://dx.doi.org/10.1038/s41598-023-30092-2

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