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Development of New Rheological Models for Class G Cement with Nanoclay as an Additive Using Machine Learning Techniques
[Image: see text] The rheology of the oil well cement plays a pivotal role in the cement placement. Accurate prediction of cement rheological parameters helps to monitor the durability and pumpability of the cement slurry. In this study, an artificial neural network is used to develop different mode...
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| Publicado en: | ACS Omega |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Chemical Society
2020
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| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7377322/ https://ncbi.nlm.nih.gov/pubmed/32715250 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.0c02122 |
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