Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries
Abstract
:1. Introduction
2. Health Monitoring Techniques in Pipeline Industry
2.1. In Pipeline Industry
2.1.1. Optical Endoscopy
2.1.2. Electromagnetic Inspection
2.1.3. Radiographic Inspection
2.1.4. Acoustic Method
2.1.5. Ultrasonic Technique
3. Health Monitoring in Corrosion
3.1. Conventional Corrosion Sensors
3.1.1. Corrosion
3.1.2. Electrical Resistance Probe
3.1.3. Electrochemical Sensors
3.1.4. Ultrasonic Testing Sensor
3.1.5. Magnetic Flux Leakage Method
3.2. Point OFS for Corrosion
3.3. Quasi-Distributed OFS for Corrosion
3.4. Distributed OFS for Physical Sensing
3.5. Distributed OFS for Chemical Sensing
3.6. Challenges of OFS Application in the O&G Industry
4. Health Monitoring Techniques for Wind Farms
4.1. Supervisory Control and Data Acquisition (SCADA) and Content Management Systems (CMSs) for Health Monitoring
4.2. Health Monitoring System of Blades
4.3. Health Monitoring System of the Tower and Foundation
4.4. Issues of Concern and their Mitigation in Wind Turbines
5. UAV Systems for Health Monitoring
6. Concluding Remarks
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Parameter | Potential Target |
---|---|
Temperature | Up to 400 °C |
Thickness Precision | 0.05 mm |
Spatial Resolution Precision | 0.05 mm width and 0.05 mm length |
Pipe Wall Thickness | 3–25 mm |
Pipe Diameter | >100 mm |
Metallurgy | Low-Alloy Steel (<9% Cr & <2.5% Mo) |
Sl No | Name of SHM Technique | Nature of Technique | Applicable Infrastructure | Precision of Damage Detection | Use for Water-Based or Oil-Based Conduit | Potential to Predict Future Damages |
---|---|---|---|---|---|---|
1 | Corrosion Coupon | Coupon is placed within the working material and is thus invasive | Can be applicable for pipe/reactor of any shape or size | No precision position and time of leak/corrosion | Can work for water-based system | Difficult to predict any future damage location |
2 | Electrical Resistance Probe | Invasive probe works as a real-time corrosion coupon | Can be applicable for pipe/reactor of any shape or size | No precise positioning but time and extent of corrosion or mass loss can be determined | Can work for oil or water-based system | Real-time data may be utilized to detect the future damage or probable future leaks |
3 | Electrochemical Sensors | In-situ electrochemical corrosion rate determination | Can be applicable for pipe/reactor of any shape or size | No precise positioning but time and extent of corrosion can be determined | Work better for ion-conducting electrolytes. Externally imposed potential may increase electrochemical corrosion rate | Difficult to predict any future damage location |
4 | Ultrasonic (Acoustic) Testing Sensor | Ultrasonic probes are placed inside the pipe to detect pipe thickness, flow change, or loss | Can be applicable for pipe/reactor of any shape or size | Precision is better than corrosion coupon or other corrosion sensors. Real-time positioning is possible. However, very small leak or structural damages are difficult to determine using this technique | Can work for oil or water-based system | Real-time data may be utilized to detect the future damage or probable location of leaks in future |
5 | Magnetic Flux Leakage Method | Invasive technique for detection of damage in structure by comparing magnetic flux lines | Can be applicable for pipe of any shape or size | Cannot precisely locate the position of structural damage | Can work for oil or water-based system | Using this technique, it becomes difficult to predict any future damage location |
6 | Point OFS for Corrosion | Works as an optical corrosion coupon using optical spectrum from its position inside the pipe | Can be applicable for pipe of any shape or size | No precise positioning but incidence and extent of corrosion can be determined | Can work for oil or water-based system to determine structural damage | Difficult to predict any future damage location |
7 | Quasi-Distributed OFS for Corrosion | It uses FBG-based external point sensors to determine change in temperature and strain. The pressure wave generated transmits both the directions from point of leakage, where the pressure sensors detect the leakage point by analyzing the pressure wave | Very useful to determine the corrosion in pipeline and wellbore in real time | Precise point and time of leakage can be determined using this technique of negative pressure wave (NPW) | Can work for oil or water-based system to determine structural damage. It can detect gas leaks | Can be useful for predicting future leaks or damage |
8 | Distributed OFS for Physical Sensing | Parameters of corrosion and leaks are determined by monitoring pressure and temperature change due to leaks. Optical fibers are wound over the pipe to detect the leak | Determination of corrosion and structural change in well. The technique is also useful for determination of efficient flow of crude in pipes and impacts in flow due to corrosion | The leak can be determined precisely and in real time | Can work for conduits carrying oil, waters, and gas | The technology can be extended to determine corrosion or damages in pipe |
9 | Distributed OFS for Chemical Sensing | Optical fibers with chemical coating and air holes are activated over the pipe core or cladding. Can be applied to check the external or internal health of a pipeline structure | Multi-sensors OFS are designed and utilized to determine leaks of gases of different types and the nature of environments the conduits are exposed to. | Precise determination of leaks and damages are possible in real time | Can work for conduits carrying oil, waters, and gas for leak detection | It gives early signs of corrosion. It is the best method to predict damage or leaks |
10 | SCADA and CMS | Acoustic emission, optic fiber, thermographic, photogrammetric techniques, and others are used to remotely collect and monitor the external conditions of infrastructure frequently via SCADA and CMS. Then, the data are communicated to determine damages in infrastructures | Determine the damages in external parts of wind farms. The techniques can also be used to detect damages in pipelines and other infrastructures | External damages to infrastructure can be monitored. General cracks can be determined. However, very fine leaks may not be detected in real time. | Can work for conduits carrying oil, waters, and gas | Monitoring external conditions may not always indicate any impending danger |
11 | UAV-Based Technique | Multi-sensor (thermal, laser, sonic, spectroscopic, photogrammetric) remote sensing of crack and structural deformations using UAV platform | Determine the external damages to any infrastructure of the oil and gas industry | Laser UAV can detect fine damages if scanning is done from close proximity. Data are required to be analyzed to determine the leaks. However, it would need the help of ground-based/internal sensors to know about any leak and then can fly over the damaged part to make detailed monitoring of damaged infrastructure | Can work over oil, water, gas conduits, or any other infrastructure | The damages existing at the pipeline or infrastructure may be extrapolated to determine the future source of leak or gas emissions. However, prediction requires inputs from other accurate invasive techniques to comprehensively monitor the existing situation and any likely situation that can develop in the future |
12 | Ground Penetration Radar Sensing | Underground sensing technique by GPR instruments | For underground civil structure oil and gas pipelines | Use electromagnetic waves that are transmitted through an antenna moving along the surface to the monitoring object | Underground pipeline leak detection | Reliable and leak information is comprehensive when leaks are found in underground pipelines |
13 | Analysis of the Pressure Point | Monitor pressure difference in pipeline by contact and non-contact sensors | For dill bits and oil and gas pipelines | The pipeline system controls pressure variations at various points | Cold climates and working properly under various flow conditions | Suitable for submarine environments |
14 | Infrared Thermography | Remote sensing of cracks and by thermal photogrammetric camera | For tall structures and oil drill bits | Easy to use and fast response time for converting detected objects into visual images | Detection of pipeline temperature variations | Detect leaks with infrared picture techniques to detect pipeline temperature changes |
15 | LiDAR Sensing | LIDAR sensing for small cracks by LiDAR scanner | For oil and gas pipelines as well as minor cracks detection for civil infrastructures | In the absence of any temperature variation between the gas and the environment, the leaks can be detected | The pulsed laser is used for methane detection as a lighting source for pipelines | Methane detection light source for gas pipelines |
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Sharma, V.B.; Singh, K.; Gupta, R.; Joshi, A.; Dubey, R.; Gupta, V.; Bharadwaj, S.; Zafar, M.I.; Bajpai, S.; Khan, M.A.; et al. Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries. Appl. Syst. Innov. 2021, 4, 59. https://doi.org/10.3390/asi4030059
Sharma VB, Singh K, Gupta R, Joshi A, Dubey R, Gupta V, Bharadwaj S, Zafar MI, Bajpai S, Khan MA, et al. Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries. Applied System Innovation. 2021; 4(3):59. https://doi.org/10.3390/asi4030059
Chicago/Turabian StyleSharma, Vinamra Bhushan, Kartik Singh, Ravi Gupta, Ayush Joshi, Rakesh Dubey, Vishwas Gupta, Shruti Bharadwaj, Md. Iltaf Zafar, Sushant Bajpai, Mohd Ashhar Khan, and et al. 2021. "Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries" Applied System Innovation 4, no. 3: 59. https://doi.org/10.3390/asi4030059
APA StyleSharma, V. B., Singh, K., Gupta, R., Joshi, A., Dubey, R., Gupta, V., Bharadwaj, S., Zafar, M. I., Bajpai, S., Khan, M. A., Srivastava, A., Pathak, D., & Biswas, S. (2021). Review of Structural Health Monitoring Techniques in Pipeline and Wind Turbine Industries. Applied System Innovation, 4(3), 59. https://doi.org/10.3390/asi4030059