Загрузка...
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...
Сохранить в:
| Опубликовано в: : | ACS Omega |
|---|---|
| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Chemical Society
2021
|
| Online-ссылка: | 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 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|