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

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

Abstract 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 o...

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Autores principales: Osama Siddig, Hany Gamal, Salaheldin Elkatatny, Abdulazeez Abdulraheem
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/bbc7573bbca84d8eb4cad94631d87cc1
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