Newly Developed Correlations to Predict the Rheological Parameters of High-Bentonite Drilling Fluid Using Neural Networks

High-bentonite mud (HBM) is a water-based drilling fluid characterized by its remarkable improvement in cutting removal and hole cleaning efficiency. Periodic monitoring of the rheological properties of HBM is mandatory for optimizing the drilling operation. The objective of this study is to develop...

Descripción completa

Detalles Bibliográficos
Autores principales: Gowida, Ahmed, Elkatatny, Salaheldin, Abdelgawad, Khaled, Gajbhiye, Rahul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285765/
https://www.ncbi.nlm.nih.gov/pubmed/32422960
http://dx.doi.org/10.3390/s20102787

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7285765/
https://www.ncbi.nlm.nih.gov/pubmed/32422960
http://dx.doi.org/10.3390/s20102787

Ejemplares similares