AI Applications in Oil Refining Operations
Course level:Intermediate
Enrolled:0
Course Duration:
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AI Applications in Oil Refining Operations
Material Includes
- Refinery datasets, AI tools, simulation models, case studies
What I will learn?
- Use AI to optimize refining processes and improve product yield.
- Monitor and control refinery operations in real-time.
- Apply digital twin and predictive analytics in refining units.
Course Curriculum
Overview of Refining Units
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Overview of refining units (distillation, cracking, reforming) and where AI fits in.
00:20
AI Models for Prediction
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Using AI models to predict feedstock behavior and product output quality.
00:20
Real-time Monitoring and Control
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Real-time data monitoring and process control adjustments using machine learning.
00:20
Digital Twin Simulation
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Digital twin simulations of refinery units with anomaly detection.
00:20
Case Study on Yield Optimization
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Case study: AI-enhanced yield optimization in FCC and hydrocracking units.
00:20
Hands-on Predictive Analytics
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Hands-on session using refinery data for predictive analytics.
00:20
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Requirements
- Minimum of 5 candidates per course
Free
Free access this course
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LevelIntermediate
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Last UpdatedApril 11, 2026
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