Monitoring System for Offshore Structure · 2014. 5. 18. · In Proceedings of Sixth Annual IEEE...
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Volume 3 • Issue 1 • 1000e115 J Marine Sci Res Dev ISSN:2155-9910 JMSRD an open access journal Open Access Editorial Marine Science Research & Development Chin, J Marine Sci Res Dev 2013, 3:1 http://dx.doi.org/10.4172/2155-9910.1000e115 *Corresponding author: Cheng S. Chin, School of Marine Science and Technology, Newcastle University, UK, Tel: 65-6460-7096; E-mail: [email protected] Received November 09, 2012; Accepted November 10, 2012; Published November 14, 2012 Citation: Chin CS (2013) Monitoring System for Offshore Structure. J Marine Sci Res Dev 3:e115. doi:10.4172/2155-9910.1000e115 Copyright: © 2013 Chin CS. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Monitoring System for Offshore Structure Cheng S. Chin* School of Marine Science and Technology, Newcastle University, UK With the increasing demand for energy in the world; petroleum, natural gas, facilities such as drilling, oil rig and production platforms have become important assets for countries like Singapore. Maintaining the economic progress is strongly dependent on having a reliable monitoring and control systems for these expensive infrastructures that significantly help in inspecting and saving them from unforeseen circumstances or human mistakes. Any defect or damage to these facilities may result in major environmental and economic consequences. For example, the BP’s Deepwater Horizon oil rig exploded on April 20, 2010 which killed eleven people and caused widespread pollution in the Gulf of Mexico. A report released by BP [1] concludes that accident was caused by “a complex and interlinked series of mechanical failures, human judgments, engineering design, operational implementation and team interfaces”. To reduce the impact of these consequences, an underwater monitoring system can be used. ese systems can provide effective, predictive and fast detection mechanisms to discover defects and respond to them in a timely and more effective manner. Furthermore, using appropriate program of continuous or periodic monitoring, to the offshore platforms can be of effective support to the conventional techniques of inspection. ere are a number of technologies to monitor, maintain and protect the facilities. Examples of these technologies [2-5] are sensor network architecture design, algorithms and mobile underwater robots. Most of these technologies are designed specifically for detecting and locating the leakage, corrosion or other anomalies on the underwater pipelines [2-5] and surface offshore structure integrity [6]. ese techniques were designed to provide a remote facility to detect and to report the positions of a defect or any important sensed information. ey are usually wired using copper or fiber optics cables [7,8] and are connected to regular MEMS-based sensor devices such as accelerometers and PZT transducer sensors that measure specific attributes such as vibration and distance, respectively. Acoustic wave propagation theory, distributed control, fuzzy-logic, neural networks and statistical signal processing are then used to analyse signals for defect prediction, detection and isolation. e wired networks are considered the traditional way for communication which is easy to install and provide power supply through the network wires. For example, there are a number of reliability problems related to using of wired networks with regular sensors for monitoring. A single cut on the wire will disconnect all the sensing and it is oſten easy for the unauthorized people to disable the network supply by cutting some of the network wires. Besides, theses cable can be easy damaged under fire. Hence, the monitoring system for offshore structure can be partially affected. Hence, the research agenda for using monitoring system for offshore structure is to reform and transform activities using intelligent or innovative techniques in the system’s design, sensors technologies, focusing on both research, and importantly on applications that are significant and impact in technical and economic performance. References 1. (2010) BP Releases Report on Causes of Gulf of Mexico Tragedy. 2. Kim J, Lim J, Friedman J, Lee U, Vieira L, et al. (2009) SewerSnort: A Drifting Sensor for In-Situ Sewer Gas Monitoring. In Proceedings of Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks 1-9. 3. Nassiraei AAF, Kawamura Y, Ahrary A, Mikuriya Y, Ishii K (2007) Concept and Design of a Fully Autonomous Sewer Pipe Inspection Mobile Robot “Kantaro”. In Proceedings of the IEEE International Conference on Robotics and Automation 136-143. 4. Chang YC, Lai TT, Chu HH, Huang P (2009) Pipeprobe: Mapping Spatial Layout of Indoor Water Pipelines. In Proceedings of the IEEE International Conference on Mobile Data Management 391-392. 5. Roh S, Choi HR (2005) Differential-drive in-pipe robot for moving inside urban gas pipelines. IEEE Trans Robot 21: 1-17. 6. Mijarez R, Gaydecki P, Burdekin M (2005) Continuous Structural Monitoring of Oil Rig Sub Sea Structures for Flood Member Detection Using Axisymmetric Guided Waves. AIP Conf Proc 820: 1648-1655. 7. Carrillo A, Gonzalez E, Rosas A, Marquez A (2002) New distributed optical sensor for detection and localization of liquid leaks: Part 1—Experimental studies. Sens Actuat A 99: 229-235. 8. Lin WW (2004) Novel distributed fiber optic leak detection system. Opt Eng 43: 278-279.
Transcript of Monitoring System for Offshore Structure · 2014. 5. 18. · In Proceedings of Sixth Annual IEEE...
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Research Article Open Access
Volume 3 • Issue 1 • 1000e115J Marine Sci Res DevISSN:2155-9910 JMSRD an open access journal
Open AccessEditorial
Marine ScienceResearch & Development
Chin, J Marine Sci Res Dev 2013, 3:1http://dx.doi.org/10.4172/2155-9910.1000e115
*Corresponding author: Cheng S. Chin, School of Marine Science and Technology, Newcastle University, UK, Tel: 65-6460-7096; E-mail: [email protected]
Received November 09, 2012; Accepted November 10, 2012; Published November 14, 2012
Citation: Chin CS (2013) Monitoring System for Offshore Structure. J Marine Sci Res Dev 3:e115. doi:10.4172/2155-9910.1000e115
Copyright: © 2013 Chin CS. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Monitoring System for Offshore StructureCheng S. Chin*
School of Marine Science and Technology, Newcastle University, UK
With the increasing demand for energy in the world; petroleum, natural gas, facilities such as drilling, oil rig and production platforms have become important assets for countries like Singapore. Maintaining the economic progress is strongly dependent on having a reliable monitoring and control systems for these expensive infrastructures that significantly help in inspecting and saving them from unforeseen circumstances or human mistakes. Any defect or damage to these facilities may result in major environmental and economic consequences. For example, the BP’s Deepwater Horizon oil rig exploded on April 20, 2010 which killed eleven people and caused widespread pollution in the Gulf of Mexico. A report released by BP [1] concludes that accident was caused by “a complex and interlinked series of mechanical failures, human judgments, engineering design, operational implementation and team interfaces”.
To reduce the impact of these consequences, an underwater monitoring system can be used. These systems can provide effective, predictive and fast detection mechanisms to discover defects and respond to them in a timely and more effective manner. Furthermore, using appropriate program of continuous or periodic monitoring, to the offshore platforms can be of effective support to the conventional techniques of inspection. There are a number of technologies to monitor, maintain and protect the facilities. Examples of these technologies [2-5] are sensor network architecture design, algorithms and mobile underwater robots. Most of these technologies are designed specifically for detecting and locating the leakage, corrosion or other anomalies on the underwater pipelines [2-5] and surface offshore structure integrity [6]. These techniques were designed to provide a remote facility to detect and to report the positions of a defect or any important sensed information. They are usually wired using copper or fiber optics cables [7,8] and are connected to regular MEMS-based sensor devices such as accelerometers and PZT transducer sensors that measure specific attributes such as vibration and distance, respectively. Acoustic wave propagation theory, distributed control, fuzzy-logic, neural networks and statistical signal processing are then used to analyse signals for defect prediction, detection and isolation. The wired networks are considered the traditional way for communication which
is easy to install and provide power supply through the network wires.
For example, there are a number of reliability problems related to using of wired networks with regular sensors for monitoring. A single cut on the wire will disconnect all the sensing and it is often easy for the unauthorized people to disable the network supply by cutting some of the network wires. Besides, theses cable can be easy damaged under fire. Hence, the monitoring system for offshore structure can be partially affected.
Hence, the research agenda for using monitoring system for offshore structure is to reform and transform activities using intelligent or innovative techniques in the system’s design, sensors technologies, focusing on both research, and importantly on applications that are significant and impact in technical and economic performance.
References
1. (2010) BP Releases Report on Causes of Gulf of Mexico Tragedy.
2. Kim J, Lim J, Friedman J, Lee U, Vieira L, et al. (2009) SewerSnort: A Drifting Sensor for In-Situ Sewer Gas Monitoring. In Proceedings of Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks 1-9.
3. Nassiraei AAF, Kawamura Y, Ahrary A, Mikuriya Y, Ishii K (2007) Concept and Design of a Fully Autonomous Sewer Pipe Inspection Mobile Robot “Kantaro”. In Proceedings of the IEEE International Conference on Robotics and Automation 136-143.
4. Chang YC, Lai TT, Chu HH, Huang P (2009) Pipeprobe: Mapping Spatial Layout of Indoor Water Pipelines. In Proceedings of the IEEE International Conference on Mobile Data Management 391-392.
5. Roh S, Choi HR (2005) Differential-drive in-pipe robot for moving inside urban gas pipelines. IEEE Trans Robot 21: 1-17.
6. Mijarez R, Gaydecki P, Burdekin M (2005) Continuous Structural Monitoring of Oil Rig Sub Sea Structures for Flood Member Detection Using Axisymmetric Guided Waves. AIP Conf Proc 820: 1648-1655.
7. Carrillo A, Gonzalez E, Rosas A, Marquez A (2002) New distributed optical sensor for detection and localization of liquid leaks: Part 1—Experimental studies. Sens Actuat A 99: 229-235.
8. Lin WW (2004) Novel distributed fiber optic leak detection system. Opt Eng 43: 278-279.
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