Drilling stuck pipe classification and mitigation in the Gulf of Suez oil fields using artificial intelligence

Drilling stuck pipe classification and mitigation in the Gulf of Suez oil fields using artificial intelligence

Abstract Developing a reliable classification model for drilling pipe stuck is crucial for decision-makers in the petroleum drilling rig. Artificial intelligence (AI) includes several machine learning (ML) algorithms that are used for efficient predictive analytics, optimization, and decision making...

Full description

Bibliographic Details
Main Authors: Haytham H. Elmousalami, Mahmoud Elaskary
Format: Article
Language:English
Published: SpringerOpen 2020-03-01
Series:Journal of Petroleum Exploration and Production Technology
Subjects:
Artificial intelligence (AI)
Ensemble machine learning
XGBoost
Drilling stuck pipe prediction
Optimization
Genetic algorithm
Online Access:https://doi.org/10.1007/s13202-020-00857-w

Internet

https://doi.org/10.1007/s13202-020-00857-w

Similar Items