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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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| Publicat a: | ACS Omega |
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| Autors principals: | , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
American Chemical Society
2020
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| Accés en línia: | 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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