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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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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8206145/ https://ncbi.nlm.nih.gov/pubmed/34131264 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-92082-6 |
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