Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform
Oil drilling and extraction platforms are currently being used in many offshore areas around the world. Whilst those operating in shallow seas are secured to the seabed, for deeper water operations, Dynamic Positioning (DP) is essential for the platforms to maintain their position within a safe zone...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/9/4/399 |
| _version_ | 1827695558648659968 |
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| author | Mohamad Alremeihi Rosemary Norman Kayvan Pazouki Arun Dev Musa Bashir |
| author_facet | Mohamad Alremeihi Rosemary Norman Kayvan Pazouki Arun Dev Musa Bashir |
| author_sort | Mohamad Alremeihi |
| collection | DOAJ |
| description | Oil drilling and extraction platforms are currently being used in many offshore areas around the world. Whilst those operating in shallow seas are secured to the seabed, for deeper water operations, Dynamic Positioning (DP) is essential for the platforms to maintain their position within a safe zone. Operating DP requires intelligent and reliable control systems. Nearly all DP accidents have been caused by a combination of technical and human failures; however, according to the International Marine Contractors Association (IMCA) DP Incidents Analysis, DP control and thruster system failures have been the leading causes of incidents over the last ten years. This paper will investigate potential operational improvements for DP system accuracy by adding a Predictive Neural Network (PNN) control algorithm in the thruster allocation along with a nonlinear Proportional Integral derivative (PID) motion control system. A DP system’s performance on a drilling platform in oil and gas deep-water fields and subject to real weather conditions is simulated with these advanced control methods. The techniques are developed for enhancing the safety and reliability of DP operations to improve the positioning accuracy, which may allow faster response to a critical situation during DP drilling operations. The semisubmersible drilling platform’s simulation results using the PNN strategy show improved control of the platform’s positioning. |
| first_indexed | 2024-03-10T12:28:57Z |
| format | Article |
| id | doaj.art-60c4f5cb2778480e8eef2210faa024a2 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-10T12:28:57Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-60c4f5cb2778480e8eef2210faa024a22023-11-21T14:50:15ZengMDPI AGJournal of Marine Science and Engineering2077-13122021-04-019439910.3390/jmse9040399Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling PlatformMohamad Alremeihi0Rosemary Norman1Kayvan Pazouki2Arun Dev3Musa Bashir4Marine, Offshore and Subsea Technology Group, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UKMarine, Offshore and Subsea Technology Group, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UKMarine, Offshore and Subsea Technology Group, School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UKMarine Technology Programmes, Newcastle University, Singapore 599493, SingaporeLiverpool Logistics, Offshore and Marine (LOOM) Research Institute, School of Engineering, Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool L3 3AF, UKOil drilling and extraction platforms are currently being used in many offshore areas around the world. Whilst those operating in shallow seas are secured to the seabed, for deeper water operations, Dynamic Positioning (DP) is essential for the platforms to maintain their position within a safe zone. Operating DP requires intelligent and reliable control systems. Nearly all DP accidents have been caused by a combination of technical and human failures; however, according to the International Marine Contractors Association (IMCA) DP Incidents Analysis, DP control and thruster system failures have been the leading causes of incidents over the last ten years. This paper will investigate potential operational improvements for DP system accuracy by adding a Predictive Neural Network (PNN) control algorithm in the thruster allocation along with a nonlinear Proportional Integral derivative (PID) motion control system. A DP system’s performance on a drilling platform in oil and gas deep-water fields and subject to real weather conditions is simulated with these advanced control methods. The techniques are developed for enhancing the safety and reliability of DP operations to improve the positioning accuracy, which may allow faster response to a critical situation during DP drilling operations. The semisubmersible drilling platform’s simulation results using the PNN strategy show improved control of the platform’s positioning.https://www.mdpi.com/2077-1312/9/4/399Dynamic Positioning (DP)semisubmersible drilling platformtime-domain simulationthree Degree of Freedom (DOF) motionthruster allocationDP advanced control system |
| spellingShingle | Mohamad Alremeihi Rosemary Norman Kayvan Pazouki Arun Dev Musa Bashir Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform Journal of Marine Science and Engineering Dynamic Positioning (DP) semisubmersible drilling platform time-domain simulation three Degree of Freedom (DOF) motion thruster allocation DP advanced control system |
| title | Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform |
| title_full | Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform |
| title_fullStr | Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform |
| title_full_unstemmed | Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform |
| title_short | Performance of an Advanced Intelligent Control Strategy in a Dynamic Positioning (DP) System Applied to a Semisubmersible Drilling Platform |
| title_sort | performance of an advanced intelligent control strategy in a dynamic positioning dp system applied to a semisubmersible drilling platform |
| topic | Dynamic Positioning (DP) semisubmersible drilling platform time-domain simulation three Degree of Freedom (DOF) motion thruster allocation DP advanced control system |
| url | https://www.mdpi.com/2077-1312/9/4/399 |
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