Recent Advances in Health Monitoring and Assessment of In-service Oil and Gas Buried Pipelines

Structural Health Monitoring techniques has captured much interest and attention of researchers owing to their potential in providing spatial and quantitative information regarding structural damage and the performance of a structure. Integrated health monitoring of structures with advances in sensor technology can improve structural reliability, system performance and safety. Pipelines exist for the transport of crude/refined petroleum, oil, natural gas and biofuels. Oil pipelines are made from steel which are usually buried. These pipelines are prone to natural and man-made damages. Hence monitoring of these buried pipelines becomes essential. Leakages of oil and gas from pipeline are dangerous for people and environment. Detection of leakage along the pipeline network is an essential part of the maintenance activity which is always a difficult task. The goal of the paper is to present the recent advancements in the field of health monitoring and assessment of in-service buried oil and gas pipelines.

[1]  J. Neshati,et al.  Failure analysis of stress corrosion cracking occurred in a gas transmission steel pipeline , 2011 .

[2]  Hong Hao,et al.  Vibration‐based structural health monitoring of offshore pipelines: numerical and experimental study , 2013 .

[3]  R. Mohsin,et al.  Failure analysis of natural gas pipes , 2010 .

[4]  Halabi Hasbullah,et al.  Early detection method of corrosion on buried pipeline , 2010, 2010 International Symposium on Information Technology.

[5]  Xiaogang Li,et al.  Failure analysis of leakage caused by perforation in an L415 steel gas pipeline , 2017 .

[6]  Wing Kong Chiu,et al.  Fatigue Damage Monitoring of a Cast Iron Pipeline Using Distributed Optical Fibre Sensors , 2017 .

[7]  M Michael Golombok,et al.  Quantification and localization of internal pipe damage , 2016 .

[8]  Jasper A. Agbakwuru,et al.  Pipeline Potential Leak Detection Technologies: Assessment and Perspective in the Nigeria Niger Delta Region , 2011 .

[9]  Bazhenov Anatoliy,et al.  Main Pipelines Corrosion Monitoring Device , 2017 .

[10]  Sunil K. Sinha,et al.  Intelligent System for Condition Monitoring of Underground Pipelines , 2004 .

[11]  Peter Cawley,et al.  Experimental and simulation methods to study the Magnetic Tomography Method (MTM) for pipe defect detection , 2017 .

[12]  Cuiwei Liu,et al.  Leakage monitoring research and design for natural gas pipelines based on dynamic pressure waves , 2017 .

[13]  Benjamin Apperl,et al.  Feasibility of Locating Leakages in Sewage Pressure Pipes Using the Distributed Temperature Sensing Technology , 2017, Water, Air, & Soil Pollution.

[14]  Lamia Chaari,et al.  Hybrid mechanism for remote water Pipeline Monitoring System , 2017, 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC).

[15]  Ali Eydgahi,et al.  Monitoring of Distributed Pipeline Systems by Wireless Sensor Networks , 2008 .

[16]  Sez Atamturktur,et al.  Novel vibration-based technique for detecting water pipeline leakage , 2017 .

[17]  Saurabh Amin,et al.  Integration of sUAS-enabled sensing for leak identification with oil and gas pipeline maintenance crews , 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

[18]  Carlo Alberto Biffi,et al.  Laser shape setting of thin NiTi wires , 2015 .

[19]  Waheed Sami Abushanab,et al.  Oil Transmission Pipelines Condition Monitoring Using Wavelet Analysis and Ultrasonic Techniques , 2013 .

[20]  F. L. D. Scalea,et al.  Macro-fiber composite piezoelectric rosettes for acoustic source location in complex structures , 2007 .

[21]  M. F. Ghazali,et al.  Leak detection in gas pipeline by acoustic and signal processing - A review , 2015 .

[22]  Gangbing Song,et al.  Dynamic cooperative identification based on synergetics for pipe structural health monitoring with piezoceramic transducers , 2013 .

[23]  Gangbing Song,et al.  Feasibility Study on Crack Detection of Pipelines Using Piezoceramic Transducers , 2013, Int. J. Distributed Sens. Networks.

[24]  Daniel J. Inman,et al.  Feasibility of using impedance‐based damage assessment for pipeline structures , 2001 .

[25]  Hyouk Ryeol Choi,et al.  Robotic system with active steering capability for internal inspection of urban gas pipelines , 2002 .

[26]  G. Yun,et al.  Probabilistic service life of reinforced concrete structures with randomly distributed corrosion-induced cracks , 2018 .

[27]  Peter Strobl,et al.  Monitoring of gas pipelines - a civil UAV application , 2005 .

[28]  Sez Atamturktur,et al.  Experimental evaluation of a vibration-based leak detection technique for water pipelines , 2018 .

[29]  Nicole Metje,et al.  Underground asset location and condition assessment technologies , 2007 .

[30]  M. R. Vianna,et al.  Remediation of Phenanthrene-Contaminated Soil by Persulfate Activated with Fe-Modified Diatomite: Kinetic and Statistical Approaches , 2017, Water, Air, & Soil Pollution.

[31]  Tao Jiang,et al.  Application of FBG Based Sensor in Pipeline Safety Monitoring , 2017 .

[32]  Ashwani Soni,et al.  Leakage Detection using Fibre Optics Distributed Temperature Sensing , 2011 .

[33]  Jerome P. Lynch,et al.  Using electrical, magnetic and acoustic sensors to detect damage in segmental concrete pipes subjected to permanent ground displacement , 2011 .

[34]  X. W. Ye,et al.  Structural Health Monitoring of Civil Infrastructure Using Optical Fiber Sensing Technology: A Comprehensive Review , 2014, TheScientificWorldJournal.

[35]  Lingyu Yu,et al.  A multi-mode sensing system for corrosion detection using piezoelectric wafer active sensors , 2008, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[36]  Jae-Boong Choi,et al.  On-Line Monitoring to Detect Third-Party Damage on Underground Natural Gas Pipelines Using Accelerometer , 2005 .

[37]  Amir Mostafapour,et al.  Analysis of leakage in high pressure pipe using acoustic emission method , 2013 .

[38]  Lufan Zou,et al.  Pipeline Corrosion Monitoring By Fiber Optic Distributed Strain And Temperature Sensors , 2008 .

[39]  Mahmood Hosseini,et al.  Sensitivity Analysis of Buried Jointed Pipelines Subjected to Earthquake Waves , 2015 .

[40]  Spyros A. Karamanos,et al.  Finite element analysis of buried steel pipelines under strike-slip fault displacements , 2010 .

[41]  C. Soh,et al.  Macro-fiber composite–based structural health monitoring system for axial cracks in cylindrical structures , 2014 .

[42]  Pengfei Liu,et al.  Failure analysis and safety evaluation of buried pipeline due to deflection of landslide process , 2012 .

[43]  D. Inaudi,et al.  LONG-RANGE PIPELINE MONITORING BY DISTRIBUTED FIBER OPTIC SENSING , 2010 .

[44]  António Barrias,et al.  A Review of Distributed Optical Fiber Sensors for Civil Engineering Applications , 2016, Sensors.

[45]  G. Song,et al.  Crack detection and leakage monitoring on reinforced concrete pipe , 2015 .

[46]  Faiza Nawaz,et al.  Remote pipeline monitoring using Wireless Sensor Networks , 2017, 2017 International Conference on Communication, Computing and Digital Systems (C-CODE).

[47]  Tribikram Kundu,et al.  Pipe Wall Damage Detection in Buried Pipes Using Guided Waves , 2009 .

[48]  S. Shokat,et al.  電界応答性キトサン-ポリ(N,N-ジメチルアクリルアミド)セミIPNゲル膜およびそれらの誘電,熱および膨潤キャラクタリゼーション , 2013 .

[49]  A. S. Ekine,et al.  Investigation of Corrosion of Buried Oil Pipeline By The Electrical Geophysical Methods , 2010 .

[50]  S. Nešić.  Key issues related to modelling of internal corrosion of oil and gas pipelines - A review , 2007 .

[51]  Yao Yao,et al.  Fiber optic method for health assessment of pipelines subjected to earthquake-induced ground movement , 2012 .

[52]  Neil Dixon,et al.  Monitoring buried pipe deformation using acoustic emission: quantification of attenuation , 2017 .

[53]  Yongzhao Zhan,et al.  Maximum Neighborhood Margin Discriminant Projection for Classification , 2014, TheScientificWorldJournal.

[54]  Hojung Cha,et al.  Energy-Aware Pipeline Monitoring System Using Piezoelectric Sensor , 2012, IEEE Sensors Journal.

[55]  Wei Yang,et al.  Experimental investigation on corrosion effect on mechanical properties of buried metal pipes , 2016 .

[56]  Gangbing Song,et al.  An experimental feasibility study of pipeline corrosion pit detection using a piezoceramic time reversal mirror , 2016 .

[57]  Abolghasem Zabihollah,et al.  Structural health monitoring of buried pipelines under static dislocation and vibration , 2010, Proceedings of 2010 IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications.

[58]  Tariq Al-Kadi,et al.  Wireless Sensor Networks for Leakage Detection in Underground Pipelines: A Survey Paper , 2013, EUSPN/ICTH.

[59]  Nicole Metje,et al.  SmartPipes: Smart Wireless Sensor Networks for Leak Detection in Water Pipelines , 2014, J. Sens. Actuator Networks.