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Improved Tracking of the Rheological Properties of Max-Bridge Oil-Based Mud Using Artificial Neural Networks
[Image: see text] Lab measurements for the rheological properties of mud are critical for monitoring the drilling fluid functions during the drilling operations. However, these measurements take a long time and might need more than one person to be completed. The main objectives of this research are...
Sparad:
| I publikationen: | ACS Omega |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
American Chemical Society
2021
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| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8223408/ https://ncbi.nlm.nih.gov/pubmed/34179625 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1021/acsomega.1c01230 |
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