Ontology highlight
ABSTRACT:
SUBMITTER: Gowida A
PROVIDER: S-EPMC7285765 | biostudies-literature | 2020 May
REPOSITORIES: biostudies-literature
Gowida Ahmed A Elkatatny Salaheldin S Abdelgawad Khaled K Gajbhiye Rahul R
Sensors (Basel, Switzerland) 20200514 10
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 new sets of correlations using artificial neural network (ANN) to predict the rheological parameters of HBM while drilling using the frequent measurements, every 15 to 20 min, of mud density (MD) and ...[more]