Real-time prediction of Poisson’s ratio from drilling parameters using machine learning tools

Rock elastic properties such as Poisson’s ratio influence wellbore stability, in-situ stresses estimation, drilling performance, and hydraulic fracturing design. Conventionally, Poisson’s ratio estimation requires either laboratory experiments or derived from sonic logs, the main concerns of these m...

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Detalles Bibliográficos
Autores principales: Siddig, Osama, Gamal, Hany, Elkatatny, Salaheldin, Abdulraheem, Abdulazeez
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206145/
https://www.ncbi.nlm.nih.gov/pubmed/34131264
http://dx.doi.org/10.1038/s41598-021-92082-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8206145/
https://www.ncbi.nlm.nih.gov/pubmed/34131264
http://dx.doi.org/10.1038/s41598-021-92082-6

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