Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids.
Shadfar DavoodiMohammad MehradDavid A. WoodHamzeh GhorbaniValeriy S. RukavishnikovPublished in: Eng. Appl. Artif. Intell. (2023)
Keyphrases
- machine learning
- prediction accuracy
- learning algorithm
- desirable properties
- artificial intelligence
- oil and gas industry
- pattern recognition
- feature selection
- prediction algorithm
- active learning
- statistical methods
- natural language processing
- machine learning algorithms
- meteorological data
- air temperature
- learning tasks
- machine learning methods
- genetic algorithm ga
- supervised learning
- knowledge acquisition
- computational intelligence
- data sets
- support vector machine
- knowledge discovery
- data analysis
- support vector
- decision trees
- computer vision
- neural network