Lean Six Sigma & Machine Learning for Optimization : Predicting Heavy Oil Viscosity with Machine Learning to Optimize Steam Injection and Reduce Energy Waste
Language: English
Published by Globeedit, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
£ 45.56
Quantity: 1 available
Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - Heavy oil exploitation presents significant energy and operational challenges due to high viscosity, which directly impacts the efficiency of thermal recovery processes. In Madagascar's Tsimiroro field, accurate viscosity prediction is critical for optimizing steam injection and mitigating excessive energy waste. This study adopts the Lean Six Sigma methodology as a structured framework to eliminate operational Mudas (wastes) related to steam overconsumption. A machine learning-based predictive framework was developed, comparing six distinct architectures: Linear Regression, Second-Degree Polynomial Regression, Support Vector Machine (SVM), Artificial Neural Network (ANN), Random Forest, and XGBoost. The results demonstrate that while the polynomial model achieves high statistical precision (R = 0.995, RMSE = 154.62 cSt), the Artificial Neural Network architecture delivers superior robustness (R = 1.000, RMSE = 154.62 cSt) in capturing complex non-linear thermal behaviors. XGBoost and Random Forest show competitive performance with R values of 0.90 and 0.91 respectively, while SVM exhibits the highest prediction errors (RMSE = 780 cSt). …
Seller Inventory # 9786209925986
Bibliographic details
- Title
- Lean Six Sigma & Machine Learning for Optimization : Predicting Heavy Oil Viscosity with Machine Learning to Optimize Steam Injection and Reduce Energy Waste
- Author
- Randrianasolo Rinah
- Publisher
- Globeedit
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 6209925987
- ISBN 13
- 9786209925986
- Item weight
- 96 grams
- Dimensions
- 220x150x4 mm
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| Item | 7 to 10 business days | 5 to 7 business days |
|---|---|---|
| First item | £ 30.00 | £ 38.57 |
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