Mathematical Modeling and Advanced Control of the Refinery Processes: A Review
The oil industry has a direct impact on the economic feasibility of other sectors and is considered to be the most important energy source used to turn the wheels of other industries. Therefore, it was necessary to pay attention and continuously develop this industry, to find the best modern techni...
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| Format: | Article |
| Language: | English |
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Al-Nahrain Journal for Engineering Sciences
2025-07-01
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| Series: | مجلة النهرين للعلوم الهندسية |
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| Online Access: | https://nahje.com/index.php/main/article/view/1376 |
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| author | Laith S. Mahmood Khalid Alzobai Salam K. Al-Dawery |
| author_facet | Laith S. Mahmood Khalid Alzobai Salam K. Al-Dawery |
| author_sort | Laith S. Mahmood |
| collection | DOAJ |
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The oil industry has a direct impact on the economic feasibility of other sectors and is considered to be the most important energy source used to turn the wheels of other industries. Therefore, it was necessary to pay attention and continuously develop this industry, to find the best modern techniques for designing, pre-commissioning and controlling process, to improve efficiency, preserve energy and achieve the highest production of costly components with the highest purity of the product. This study aims to provide a literary analysis of the stages of development and progress of the dynamics and control of the petroleum industry, in particular the distillation column, because it is multivariable with high interaction between control cycles, nonlinear behaviour and large gains. Control processes have undergone many developments and modernizations to achieve the best results. Various control methods have been used, ranging from simple proportional-integral-derivative controller (PID) to advanced control strategies such as model predictive control (MPC), multivariate model predictive control (MMPC), fuzzy logic control (FLC), quadratic dynamic matrix control (QDMC), artificial neural network control (ANN) and other advanced control techniques. The authors concluded from the review that the advanced control strategies superior than the conventional methods.
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| format | Article |
| id | doaj-art-481b87d675cc4dd884d51638de6f8e94 |
| institution | DOAJ |
| issn | 2521-9154 2521-9162 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Al-Nahrain Journal for Engineering Sciences |
| record_format | Article |
| series | مجلة النهرين للعلوم الهندسية |
| spelling | doaj-art-481b87d675cc4dd884d51638de6f8e942025-08-20T02:48:38ZengAl-Nahrain Journal for Engineering Sciencesمجلة النهرين للعلوم الهندسية2521-91542521-91622025-07-0128210.29194/NJES.28020253Mathematical Modeling and Advanced Control of the Refinery Processes: A ReviewLaith S. Mahmood0Khalid Alzobai1Salam K. Al-Dawery2Midland Refineries Company, Ministry of Oil, Baghdad, IraqDepartment of Chemical Engineering, Al Nahrain University, Baghdad, Iraq.University of Nizwa, Sultanate of Oman. The oil industry has a direct impact on the economic feasibility of other sectors and is considered to be the most important energy source used to turn the wheels of other industries. Therefore, it was necessary to pay attention and continuously develop this industry, to find the best modern techniques for designing, pre-commissioning and controlling process, to improve efficiency, preserve energy and achieve the highest production of costly components with the highest purity of the product. This study aims to provide a literary analysis of the stages of development and progress of the dynamics and control of the petroleum industry, in particular the distillation column, because it is multivariable with high interaction between control cycles, nonlinear behaviour and large gains. Control processes have undergone many developments and modernizations to achieve the best results. Various control methods have been used, ranging from simple proportional-integral-derivative controller (PID) to advanced control strategies such as model predictive control (MPC), multivariate model predictive control (MMPC), fuzzy logic control (FLC), quadratic dynamic matrix control (QDMC), artificial neural network control (ANN) and other advanced control techniques. The authors concluded from the review that the advanced control strategies superior than the conventional methods. https://nahje.com/index.php/main/article/view/1376Modeling and advanced controlDistillation columnModel Predictive ControlFuzzy logic controlArtificial Neural Network. |
| spellingShingle | Laith S. Mahmood Khalid Alzobai Salam K. Al-Dawery Mathematical Modeling and Advanced Control of the Refinery Processes: A Review مجلة النهرين للعلوم الهندسية Modeling and advanced control Distillation column Model Predictive Control Fuzzy logic control Artificial Neural Network. |
| title | Mathematical Modeling and Advanced Control of the Refinery Processes: A Review |
| title_full | Mathematical Modeling and Advanced Control of the Refinery Processes: A Review |
| title_fullStr | Mathematical Modeling and Advanced Control of the Refinery Processes: A Review |
| title_full_unstemmed | Mathematical Modeling and Advanced Control of the Refinery Processes: A Review |
| title_short | Mathematical Modeling and Advanced Control of the Refinery Processes: A Review |
| title_sort | mathematical modeling and advanced control of the refinery processes a review |
| topic | Modeling and advanced control Distillation column Model Predictive Control Fuzzy logic control Artificial Neural Network. |
| url | https://nahje.com/index.php/main/article/view/1376 |
| work_keys_str_mv | AT laithsmahmood mathematicalmodelingandadvancedcontroloftherefineryprocessesareview AT khalidalzobai mathematicalmodelingandadvancedcontroloftherefineryprocessesareview AT salamkaldawery mathematicalmodelingandadvancedcontroloftherefineryprocessesareview |