Predicting Oil Refining Process Quality with Machine Learning
summary
Presents using machine learning to predict the quality of crude oil processing. Covers employing data-driven models and ML techniques to forecast process performance indicators in oil refining operations, aiming to improve process control and product quality.
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chapters (10)
- 0:00Introduction
- 2:50Problem statement
- 8:15Target function and model
- 14:00Three modeling approaches
- 18:04Modeling results and comparison
- 25:42Data preprocessing
- 29:47Dimensionality reduction and features
- 33:27Model integration
- 35:34Conclusions and outlook
- 36:52Q&A
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