Machine learning modeling for optimization of sulfur compounds separation from fuels: Process optimization for reduction of environmental pollution
Development of theoretical models for reduction of sulfur emission and also the material consumption is of great importance for petroleum refinery to obtain high-quality fuels. The latter can be done by employing advanced optimization techniques. In this study, we have developed a modeling methodolo...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | Case Studies in Thermal Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X23002952 |