Pipeline Monitoring System: A Feasibility Study

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2021 by IJCTT Journal
Volume-69 Issue-2
Year of Publication : 2021
Authors : M.A Aibinu, J.A Ojo, A. O Oke, J.A. Bala, I.D. Solomon, P.o. Idowu
  10.14445/22312803/IJCTT-V69I2P111

MLA

MLA Style: M.A Aibinu, J.A Ojo, A. O Oke, J.A. Bala, I.D. Solomon, P.o. Idowu "Pipeline Monitoring System: A Feasibility Study" International Journal of Computer Trends and Technology 69.2 (2021):68-79.

APA Style: M.A Aibinu, J.A Ojo, A. O Oke, J.A. Bala, I.D. Solomon, P.o. Idowu (2021). Pipeline Monitoring System: A Feasibility Study. International Journal of Computer Trends and Technology, 69(2), 68-79.

Abstract
Pipeline is a medium through which fluids can be transported from one location to another. It is basically used to efficiently transport liquid and gaseous commodities over long distances at a low cost. Water, regular gases, petroleum products, and liquid hydrocarbons are examples of transportable pipeline commodities. The need for an efficient and reliable pipeline system is increasing by the day as a result of the detrimental effect of unreliable ones on society. Failure can result in environmental pollution and explosions, which can destroy lives, properties, and the ecosystem; moreover, the cost of restoring the ecosystem to its origin or natural form may be very costly or nearly impossible. To this effect, there is a need for pipeline monitoring systems (PMS) that will manage the pipeline network against such detrimental effects. This paper review some of the existing PMS highlights their sensing techniques, merits, de-merits, and areas of possible applications either onshore (surface or underground pipelines) or offshore (underwater pipelines). It also highlighted key components of PMS and classified the existing PMS into direct and indirect sensing, based on the sensing medium employed in their various methodologies.

Reference
[1] Projects, E., 48% Increase in World Energy Consumption 2040, Online, (2016).
[2] Chris, T., Pipeline Leak Detection Techniques, Annals. Computer Science Series, (2007) 25-34.
[3] Ginzel, R K; Kanters, W A, Pipeline corrosion and cracking and the associated calibration considerations for same side sizing applications, NDT.net, 7(2010).
[4] Brunone, B; Ferrante, M; On Leak Detection in Single Pipes Using Unsteady State Test, in Modelling and Simulation, M. H. Hamza, Ed., Anaheim, Califonia, IASTED ACTA PRESS, (1999) 268 - 272.
[5] Oren, G; Stroh, N, Mathematical Model for Detection of Leakage in Domestic Water Supply Systems by Reading Consumption from an Analogue Water Meter, International Journal of Environmental Science and Development, 4(4)(2013) 386 -389.
[6] Van der Leeden, F; Troise F L; Todd, D K; The water encyclopedia, 2nd ed., Boca Raton, FL: CRC Press., (1990).
[7] Boaz, L; Kaijage, S; Sinde, R; An overview of pipeline leak detection and location systems., in Pan African International Conference on Science, Computing and Telecommunications (PACT 2014), Arusha, Tanzania., (2014).
[8] Christodoulou, S; Agathokleus, A.; Kounoudes, A.; Mills, M.; Wireless sensor networks for water loss detection, European Water, 30(2010) 41-48.
[9] News24 PM News, Nigeria loses N470m daily to pipeline vandalism, 20 01 2016.. [Online]. Available: http://www.news24.com.ng/National/News/nigeria-loses-n470m-daily-to-pipeline-vandalism. [Accessed 24 Apr 2016].
[10] Sachedina K; Mohanty, A; A review of pipeline monitoring and periodic inspection methods, (2018).
[11] Zhi, S; Pu, W; Mehmet, C V; Mznah A A; Abdullah M A;, MISE-PIPE: Magnetic Induction-Based Wireless Sensor Networks, Ad Hoc Networks, (2011) 218 - 227.
[12] Lee, L H; Rajkumar, R; Lo, L H; Wan, C H; Isa, D;, Oil and gas pipeline failure prediction system using long range ultrasonic transducers and Euclidean-support vector machines classification approach, Expert Syst. Appl., 40(6)(2013) 1925–1934.
[13] Augustine C A; Victor E I; Schola U N; Obinna S O; Simon E;, Wireless Sensor Networks for Long Distance, International Scholarly and Scientific Research & Innovation,7(3)(2013) 285 - 289.
[14] Sulaima, M F; Abdullah, F; Bukhari, W M; Ali, F A; Nasir M; Yahya, A B; , Oil and gas offshore pipeline leak detection system: a feasibility study, Applied Mechanics and Materials, (2014).
[15] Zhang J;Designing a cost effective and reliable pipeline leak detection system, Pipes and Pipelines International, 421(1997) 20-26.
[16] Geiger, G; Vogt, D; Tetzner, R; State-of-the-art in leak detection and localization, Oil Gas Eur. Mag. , 32(2006) 1–26.
[17] Scott, S. B. A., Worldwide assessment of industry leak detection capabilities for single and multiphase Pipelines, Offshore Tecnology Research Center, Texa, (2003).
[18] Mutiu, Adesina Adegboye; Wai-Keung, Fung; Aditya, Karnik; Recent Advances in Pipeline Monitoring and Oil Leakage Detection Technologies: Principles and Approaches, Sensors, (2019).
[19] Sivathanu, Y., Natural Gas Leak Detection in Pipelines, National Energy Technology Laboratory, Morgantown, (2003)..
[20] Murvay, P S; Silea, I;, A survey on gas leak detection and localization techniques,Journal of Loss Prevention in the Process Industries, vol. 25(6)(2012) 966 - 973.
[21] Elleuchi, M; Boujelben, M; Abid, M; Obeid, A M; BenSaleh, M S, Power aware scheme for water pipeline monitoring based on wireless sensor networks, in Intelligent Systems Design and Applications (ISDA), 15th International Conference, (2015).
[22] Amit, Sinha; and Anantha, Chandrakasan;,Dynamic Power Management in Wireless Sensor Networks, IEEE Design & Test of Computers,, 18(2)(2001).
[23] Fuad Z A; Eddy H S; Badronnisa Y; Syazwani I;, Water Leak Detection Method in Water Distribution Network, in Sustainable Civil and Construction Engineering Conference, (2019).
[24] Yan, J. Machinery Prognostics and Prognosis Oriented Maintenance Management, singapore: Wiley & Sons Singapore Pte. Ltd, (2015) 107.
[25] Xu, Y; Heidemann, J; Estrin, D; Geography-informed energy conservation for ad hoc routing,, (2001).
[26] Morris, R. Principal causes and remedies of water main breaks, JAm. Water Works Assoc. ., 59(7)(1967) 782–798.
[27] Puust, R; Kapelan, Z; Savic, D; Koppel, T;, A review of methods for leakage management in pipe networks, Urban Water Journal, 7(1)(2010) 25–45.
[28] Mutikanga, H E; Sharma, S K; Vairavamoorthy, K;, Methods and tools for managing losses in water distribution systems, Journal of Water Resource Planning Management, 139(2)(2012) 166–174.
[29] Wu, Y; Liu, S; Smith, K; Wang, X; Using correlation between data from multiple monitoring sensors to detect bursts in water distribution systems. J. Water Resour. Plann. Manage., 144(2)(2017).
[30] Shukla, A; Karki, H;, Application of robotics in onshore oil and gas industry—A review Part II., Robot. Auton. Syst, 75(2016) 508–524 .
[31] Quaife, L; Acker, D;, Pipeline leak location technique using a novel test fluid and trained dogs,in International Conference and Exhibition on Pipeline Pigging and Integrity Monitoring Conference,, Houston, TX, USA, , (1993).
[32] Mandal, P. C. Gas leak detection in pipelines & repairing system of titas gas, J. Appl. Eng. , 2(2014) 23–34.
[33] Garner, K.J.; Busbee, L.; Cornwell, P; Edmonds, J; Mullins, K; Rader, K; Johnston, J M; Willian, J M;, Duty Cycle of the Detector Dog: A Baseline Study, Institute for Biological Detection Systems, Auburn University: Aubuern, AL, USA, (2001).
[34] Martini, A; Troncossi, M; Rivola, A;, Leak Detection in Water-Filled Small-Diameter Polyethylene Pipes by Means of Acoustic Emission Measurements., Apply Science., 7(2)(2017).
[35] Cramer, R; Shaw, D; Tulalian, R; Angelo, P; Van Stuijvenberg, M;, Detecting and correcting pipeline leaks before they become a big problem, Mar. Technol. Soc. J., 49(2015) 31–46.
[36] Li, S; Wen, Y; Li, P; Yang, J; Yang, L;, Leak detection and location for gas pipelines using acoustic emissionvsensors., in IEEE International Ultrasonics Symposium (IUS), Dresden, Germany, (2012).
[37] Recommended, Practice, DNVL-RP-F302, 2(2016). [Online]. Available: https://rules.dnvgl.com/docs/pdf/DNVGL/RP/2016-04/DNVGL-RP-F302.pdf. [Accessed 28 December 2020].
[38] Chatzigeorgiou, D; Youcef-Toumi, K; Ben-Mansour, R;, Design of a novel in-pipe reliable leak detector, IEEE/ASME Trans. Mechatron, 20(2015) 824–833.
[39] Fuchs, H; Riehle, R; , Ten years of experience with leak detection by acoustic signal analysis., Appl. Acoust., 33(1991) 1–19.
[40] Davoodi, S; Mostafapour, A; Theoretical Analysis of Leakage in High Pressure Pipe Using Acoustic Emission Method, Adv. Mater. Res. Trans Tech. Publ.445(2012) 917–922.
[41] Datta, S; Sarkar, S;, A review on different pipeline fault detection methods, J. Loss Prev. Process Ind, 41(2016) 97–106.
[42] Oh, S W; Yoon, D; Kim, G J; Bae, J; Kim, H S; , Acoustic data condensation to enhance pipeline leak detection.,Nucl. Eng. Des., vol. 327(2018) 198–211.
[43] Ai, C; Zhao, H; Ma, R; Dong, X; , Pipeline damage and leak detection based on sound spectrum LPCC and HMM, in Sixth International Conference on Intelligent Systems Design and Applications (ISDA’06), Jinan, China, (2006).
[44] Jia, Z; Ren, L; Li, H; Sun, W; Pipeline Leak Localization Based on FBG Hoop Strain Sensors Combined with BP Neural Network, Appl. Sci. , 146(2018) 8.
[45] Scott, S L; Barrufet, M A;, Worldwide Assessment of Industry Leak Detection Capabilities for Single & Multiphase Pipelines, Offshore Technology Research Center College Station, 2003. [Online]. Available: http://citeseerx.ist.psu.edu/viewdoc/download?. [Accessed 22 December 2020].
[46] Meng, L; Yuxing, L; Wuchang, W; Juntao, F; Experimental study on leak detection and location for gas pipeline based on acoustic method, . J. Loss Prev. Process Ind, 25(2012) 90–102.
[47] Jin, H; Zhang, L; Liang, W; Ding, Q; , Integrated leakage detection and localization model for gas pipelines based on the acoustic wave method, J. Loss Prev. Process Ind, 27(2014) 74–88.
[48] Ahadi, M; Bakhtiar, M S; , Leak detection in water-filled plastic pipes through the application of tuned wavelet transforms to acoustic emission signals, . Appl. Acoust, 71(2020) 634–639.
[49] Elandalibe, K; Jbari, A; Bourouhou, A;, Application of cross-correlation technique for multi leakage detection., in Third World Conference on Complex Systems (WCCS), Marrakech, Morocco, (2015) 23–25; IEEE: Piscataway, , Marrakech, Morocco, (2015) .
[50] Chen, Z; Xie, Y; Yuan, M; Xu, Z;, Weak feature signal extraction for small leakage in pipelines based on wavelet, in IET International Conference on Information Science and Control Engineering 2012 (ICISCE 2012), Shenzhen, China, (2012).
[51] Yazdekhasti, S; Piratla, K R; Atamturktur, S; Khan, A;, Novel vibration-based technique for detection of water pipeline leakage, Struct. Infrastruct. Eng, 13(2017) 731–742.
[52] El-Zahab, S; Mohammed Abdelkader, E; Zayed, T., An accelerometer-based leak detection system, Mech. Syst. Signal Process, 108(2018) 58–72.
[53] Yazdekhasti, S; Piratla, K R; Atamturktur, S; Khan, A;, Experimental evaluation of a vibration-based leakvdetection technique for water pipelines, Struct. Infrastruct. Eng, 14(2018) 46–55.
[54] Martini, A; Troncossi, M; Rivola, A;, Vibroacoustic Measurements for Detecting Water Leaks in Buried Small-Diameter Plastic Pipes, J. Pipeline Syst. Eng. Pract, 8(2017) 1–10.
[55] Martini, A; Rivola, A; Troncossi, M;, Autocorrelation Analysis of Vibro-Acoustic Signals Measured in a Test Field for Water Leak Detection, Appl. Sci. , 8(2018) 24 - 50.
[56] Wong, L; Deo, R; Rathnayaka, S; Shannon, B; Zhang, C; Kodikara, J; Chiu, W; Widyastuti, H; , Leak detection and quantification of leak size along water pipe using optical fibre sensors package,, Electronic Journal Structure Engineering, 18(2018) 47–53.
[57] Wang, L; Narasimman, S C; Ravula, S R; Ukil, A; , Water ingress detection in low-pressure gas pipelines using distributed temperature sensing system, . IEEE Sens. J., 17(2017) 3165–3173.
[58] Selker, J S; Thévenaz, L; Huwald, H; Mallet, A; Luxemburg, W; Van De Giesen, N;, Distributed fibre-optic temperature sensing for hydrologic systems, Water Resour. Res. , 42(2006) 1–8.
[59] Jia, Z; Wang, Z; Sun, W; Li, Z; , Pipeline leakage localization based on distributed FBG hoop strain measurements and support vector machine, Optik , 176(2019) 1–13.
[60] Khan, A A; Vrabie, V; Mars, J.I.; Girard, A; D’Urso, G;, A source separation technique for processing of thermometric data from fibre-optic DTS measurements for water leakage identification in dikes, IEEE Sensors. J., 8(2008) 1118–1129.
[61] Kroll, A; Baetz, W; Peretzki, D;, On autonomous detection of pressured air and gas leaks using passive IR-thermography for mobile robot application, in IEEE International Conference on Robotics and Automation, 2009 (ICRA’09),, Kobe, Japan, (2019).
[62] Zhang, S; Liu, B; He, J;, Pipeline deformation monitoring using distributed fibre optical sensor., Measurement, 133(2019) 208–213.
[63] Tanimola, F; Hill, D;, Distributed fibre optic sensors for pipeline protection, J. Nat. Gas Sci. Eng., 1(2009) 134–143.
[64] Peters, L; Daniels, J J; Young, J D; , Ground penetrating radar as a subsurface environmental sensing tool, Proc. IEEE, 82(1994) 1802–1822.
[65] Adedeji, K B; Hamam, Y; Abe, B T; Abu-Mahfouz, A M; , Towards achieving a reliable leakage detection and localization algorithm for application in water piping networks: An overview, IEEE Access , 5(2017) 20272–20285.
[66] Maas, C; Schmalzl, J; Using pattern recognition to automatically localize reflection hyperbolas in data from ground penetrating radar., Comput. Geosci, 58(2013) 116–125.
[67] Patterson, J E; Cook, F A; Successful application of ground-penetrating radar in the exploration of gemtourmaline pegmatites of southern California, Geophys. Prospect, 50(2002) 107–117.
[68] Simi, A; Manacorda, G; Miniati, M; Bracciali, S; Buonaccorsi, A;, Underground asset mapping with dual-frequency dual-polarized GPR massive array, in XIII Internarional Conference on Ground Penetrating Radar, Lecce, Italy.
[69] Zoubir, A M; Chant, I J; Brown, C L; Barkat, B; Abeynayake, C;, Signal processing techniques for landmine detection using impulse ground penetrating radar, IEEE Sens. J. , 2(2002) 41–51.
[70] Ng, W; Chan, T C; So, H; Ho, K C; , Particle filtering based approach for landmine detection using ground penetrating radar, IEEE Trans. Geosci. Remote Sens, 46(2008) 3739–3755.
[71] Golmohamadi, M. Pipeline Leak Detection. Master’s Thesis, Missouri University of Science and Technology, Rolla, MO, USA, (2015).
[72] Ahmed, M; Shama, A; Mohamed, E; Mohamed, K;, Review of leakage detection methods for subsea pipeline., Arab Acad. Sci. Technol. Marit. Transp., 1(2017) 1–9.
[73] Cosham, A; Hopkins, P;, The pipeline defect assessment manual, in 4th International Pipeline Conference, Calgary, AB, Canada, 29(2002) 1565–1581., Calgary, Canada.
[74] Manekiya, M H; Arulmozhivarman, P; Leakage detection and estimation using IR thermography, in International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India., (2016).
[75] Bagavathiappan, S; Lahiri, B; Saravanan, T; Philip, J.; Jayakumar, T;, Infrared thermography for condition monitoring—A review., Infrared Phys. Technol, 60(2013) 35–55.
[76] Shakmak, B; Al-Habaibeh, A; , Detection of water leakage in buried pipes using infrared technology; a comparative study of using high and low resolution infrared cameras for evaluating distant remote detection, in . In Proceedings of the 2015 IEEE Jorda, Jorda, (2015).
[77] Meola, C. Origin and theory of infrared thermography. In Infrared Thermography Recent Advances and Future Trends, Perugia: Meola, C., Ed.; Bentham eBooks, 3–28 (2012).
[78] Shen, G; Li, T;, Infrared thermography for high-temperature pressure pipe., Insight-Non-Destr. Test. Cond. Monit., 49(2007) 151–153.
[79] Flores-Bolarin, J; Royo-Pastor, R. I., nfrared thermography: A good tool for nondestructive testing of plastic materials, in 5th European Thermal-Sciences Conference, Eindhoven , The Netherlands, (2008).
[80] Jadin, M S;; Ghazali, K H;, Gas leakage detection using thermal imaging technique., in In Proceedings of the 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, Cambridge, UK, (2014).
[81] Dudi´c, S; Ignjatovi´c, I; Šešlija, D; Blagojevi´c, V; Stojiljkovi´c, M;, Leakage quantification of compressed air using ultrasound and infrared thermography, Measurement , 45(1)(2012) 1689–1694.
[82] Adefila, K; Yan, Y; Wang, T;, Leakage detection of gaseous CO 2 through thermal imaging, in IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, Pisa, Italy, (2015).
[83] P. Ostapkowicz, Leak detection in liquid transmission pipelines using simplified pressure analysis techniques employing a minimum of standard and non-standard measuring devices, Engineering Structure , 113(2016) 194–205.
[84] Sheltami, T R; Bala, A; Shakshuki, E M; Wireless sensor networks for leak detection in pipelines: A survey., J. Ambient Intell. Humaniz. Comput. , 7(2016) 347–356.
[85] Martins, J C; Seleghim, P; Assessment of the performance of acoustic and mass balance methods for leak detection in pipelines for transporting liquids, J. Fluids Eng, 132(2010) 011401–011413.
[86] Wylie, E B; Streeter, V L;, Fluid Transients in Systems, Prentice-Hall: Englewood Cliffs , New Jersey, (1993) 463.
[87] Karim, M Z A; Alrasheedy, A; Gaafar, A A;, Compensated mass balance method for oil pipeline leakagedetection using SCADA, Int. J. Comput. Sci. Secur. (IJCSS), 9(2015) 293–302.
[88] Rougier, J., Probabilistic leak detection in pipelines using the mass imbalance approach., J. Hydraul. Res, 43(2005) 556–566.
[89] Wan, J; Yu, Y; Wu, Y; Feng, R; Yu, N, Hierarchical leak detection and localization method in natural gas pipeline monitoring sensor networks, Sensors , 12(2012) 189–214.
[90] Kay, S., Fundamentals of Statistical Signal Processing, in Practical Algorithm Development, 3(2013) 1-496. Prentice Hall: Upper Saddle River, New Jersey, .
[91] A. D. o. E. Conservation, Technical Review of Leak Detection Technologies, (1999).
[92] He, G; Liang, Y; Li, Y; Wu, M; Sun, L; Xie, C; Li, F, A method for simulating the entire leaking process and calculating the liquid leakage volume of a damaged pressurized pipeline, J. Hazard. Mater, 332(2017) 19–32.
[93] Yang, Z; Fan, S; Xiong, T., Simulation and Numerical Calculation on Pipeline Leakage Process, in In Proceedings of the 2010 2nd International Symposium on Information Engineering and Electronic Commerce (IEEC), Ternopil, Ukraine,, (2010).
[94] Vítkovský, J P; Lambert, M F; Simpson, A R; Liggett, J A; , Experimental observation and analysis of inverse transients for pipeline leak detection, Journal of Water Resources. Planning. Managment, 133(2007) 519–530.
[95] Giustolisi, O; Savic, D; Kapelan, Z, Pressure-driven demand and leakage simulation for water distribution networks, Journal of Hydraulic Engineering,134(2008) 626–635.
[96] Berardi, L; Giustolisi, O; Savic, D; Kapelan, Z., An effective multi-objective approach to prioritisation of sewer pipe inspection., Water Sci. Technol., 60(2009) 841–850.
[97] Xiao, Jian Wang; Martin, F Lambert; Angus, R Simpson; John, P Vitkovsky;, Leak Detection in Pipeline System and Network : A review, in Conference on Hydraulics in Civil Engineering, The Institution of Engineers, Australia, (2001).
[98] A. o. A. W. Works, Writer, Leak in Water Distribution System: A Technical Economic Overview. [Performance]. American Water Works Association, Deaver U. S., (1987).
[99] Franklin, O Okorodudu; Philip, O Okorodudu; Lawrence, O Atumah;, A Monitoring System for Petroleum Pipeline Vandalism in The Niger Delta of Nigeria, International Journal of Research, 6(6)(2018) 139-150.
[100] Okorodudu., F O; Okorodudu, P O; Ekerikvwe, K O;, A model of petroleum pipeline spillage detection system for use in the Niger Delta region of Nigeria, International Journal of Research, 4(2016) 1-16.
[101] Ugwuanyi, S., Nigeria loses N130m barrels of crude oil to 32 militant groups in 2011., 7 12 2020. [Online]. Available: :Dailypost.ng/2016/11/29/Nigeria-loses-n130m-barrels-crude-oil-32-militant-groups. [Accessed 29 11 2016].
[102] Tariq, Al-Kadi; Ziyad, Al-Tuwaijn; Abdullah, Al-Omran;, Wireless Sensor Networks for Leakage Detection in Underground Pipeline : A Survey Paper, in The 5th International Symposium on Application of Ad hoc and Sensor Networks, (2013).
[103] Hieu, B; Choi, S; Kim, Y U; Park, Y; Jeong, T;, Wireless transmission of acoustic emission signals for real-time monitoring of leakage in underground pipes, KSCE Journal of Civil Engineering, 15(5)(2011) 805 - 812.
[104] Ozevin, D; Yalcinkaya, H; New Leak Localization Approach in Pipelines Using Single-Point Measurement, Journal of Pipeline Systems Engineering and Practice, 8(2013) 1-8.
[105] Gao, Y; Brennan, M; Joseph, P; Muggleton, J; Hunaidi, O; The selection of acoustic/vibration sensors for leak detection in plastic water pipes, Journal of Sound and Vibration, 283(35)(2005) 927 - 941.
[106] Khulief, Y; Khalifa, A; Ben-Mansour, R; Habib, M; Acoustic Detection of Leaks in Water Pipelines Using Measurements inside Pipe., Journal of Pipeline Systems Engineering and Practice, 3(2)(2012) 47 - 54.
[107] Ahadi, M; Bakhtiar M S;, Leak Detection in Water Fillied Plastic Pipes Through The Application of Tuned Wavelet Transforms to Acoustic Emission Signals, Applied Acpustics, 71(7)(2010) 634 - 639.
[108] Muggleton, J M; Brennan, M J; Pinnington, R J; Gao, Y; A novel sensor for measuring the acoustic pressure in buried plastic water pipes, Journal of Sound and Vibration, 295(35)(2006) 1085 –1098.
[109] Hunaidi, O; Giamou, P;, Ground-penetrating radar for detection of leaks in buried plastic water distribution pipes., in Seventh International Conference on Ground Penetrating Radar, (1998).
[110] Misiunas, D; Lambert, M; Simpson, A; Olsson, G;, Burst detection and location in water distribution networks, Water Science and Technology: Water Supply, 5(2005) 71–80,.
[111] Crocco, L; Prisco, G; Soldovieri, F; Cassidy, N J; , Early-stage leaking pipes GPR monitoring via microwave tomographic inversion, Journal of Applied Geophysics ,67(4)(2009) 270–277.
[112] Nakhkash, M. Water leak detection using ground penetrating radar. In Ground Penetrating Radar, in Proceedings of the Tenth International Conference on. Delft, The Netherlands, (2004).
[113] Liu, Z; Kleiner, Y; State of the art review of inspection technologies for condition assessment of water pipes, Measurement, 46(1)(2013) 1–15.
[114] Costello, S B; Chapman, D N; Rogers, C D F; Metje, N;, Underground asset location and condition assessment technologies, Tunnelling and Underground Space Technology, 22(2007) 5-6 524–542.
[115] López-higuera, J M; Cobo, L R; Incera, A Q; Cobo, A; , Fiber Optic Sensors in Structural Health Monitoring, Journal of lightwave technology, 29(4)(2011) 587–608.
[116] Cheung, L; Soga, K; Amatya, B; Wright, P; Bennett, P J; Kobayashi, Y; Cheung, L L K; Optical Fibre Strain Measurement for Tunnel Lining Monitoring, in Proceedings of the ICE -Geotechnical Engineering, (2010).
[117] Mohamad, H; Soga, K; Bennett, P; Monitoring Twin Tunnel Interaction Using Distributed Optical Fiber Strain Measurements, Journal of geotechnical and geo-environmental engineering, 138(8)(2011) 957–967.
[118] Sonyok, D; Zhang, B; Zhang, J;, Applications of Non-Destructive Evaluation (NDE) in Pipeline Inspection., in Pipeline Asset Management: Maximizing Performance of our Pipeline Infrastructure., (2008).
[119] Dhillon, S S; Chakrabarty, K. , Sensor placement for effective coverage and surveillance in distributed sensor networks, in IEEE Wireless Communications and Networking (WCNC2003), New Orleans, LA, USA, (2003).
[120] Agajo, J; Kolo, J G; Adegboye, M; Nuhu, B; Ajao, L; Aliyu, I., Experimental performance evaluation and feasibility study of 6lowpan based internet of things., Acta Electrotech. Inform., 17(2017) 16–22.
[121] Li, J; Andrew, L; Foh, C; Zukerman, M; Chen, H H Connectivity, coverage and placement in wireless sensor networks, Sensors , 9(2009) 7664–7693.
[122] Fan, G; Jin, S, Coverage problem in wireless sensor network: A survey, J. Netw. , 5(2010) 1033–1042.
[123] Yan-Li, W A; Shi-Qan, A N, Research on the Coverage of Wireless Sensor Network., J. Transcluction Technol, 2(2005) 25–37.
[124] Boudriga, N; Hamdi, M; Iyengar, S. , Coverage assessment and target tracking in 3D domains, Sensors , 11(2011) 9904–9927.
[125] Ammari, H M; Das, S K , Integrated coverage and connectivity in wireless sensor networks: A two-dimensional percolation problem., IEEE Trans. Comput. , 57(2008) 1423–1434.
[126]Fan, G; Wang, R; Huang, H; Sun, L; Sha, C., Coverage-guaranteed sensor node deployment strategies for wireless sensor networks, Sensors., 10(2010) 2064–2087.

Keywords
Infrared, offshore, onshore, Pipeline Network, Pipelines Monitoring Systems (PMS), Radio Frequency (RF), Sensor Clusters, Sensors Node, Wireless Sensor Networks (WSNs)