Remote monitoring of oil pipelines' cathodic protection system via GSM/GPRS modem and the thingspeak platform
More details
Hide details
Wasit University
Submission date: 2022-05-14
Final revision date: 2022-07-17
Acceptance date: 2022-08-28
Online publication date: 2022-09-05
Publication date: 2022-09-05
Corresponding author
Ali Khalaf Nawar Al-Attabi   

Wasit University
Diagnostyka 2022;23(3):2022305
With the advancement of technology and the implementation of contemporary techniques and system controls, conventional methods of on-site monitoring have been replaced by remote supervision, which offers a number of advantages. As a result, it appears that a suitable strategy utilizing these contemporary approaches and incorporating information technology into the industry is required. The author's goal in this work is to describe a device for remotely transferring cathodic protection information from oil and gas pipelines to a platform server through the internet and sending alerts by SMS and e-mail. This system was developed and tested in Iraq's Al-Ahdab oil field. The system provides real-time, 24/7 assessment data with an accuracy of 99.7%.
The authors would like to express their gratitude to the Al-Waha Petroleum Company's SE department workers in the Al-Ahdab oil field for their assistance with the system installation and data collection.
Branko N. Popov, Jong-Won Lee. Chapter 24 - Cathodic Protection of Pipelines. Handbook of Environmental Degradation of Materials (Third Edition). 2018.
Kraidi, Layth. Development of an Integrated Risk Management Framework for Oil and Gas Pipeline Projects. PhD. Thesis, ProQuest Dissertations Publishing UK, 28400147, 2020.
Soeharwinto, Sinulingga E., Siregar. B. Remote monitoring of Post-eruption Volcano Environment based-on Wireless Sensor Network (WSN): The Mount Sinabung case. Journal of Physics: Conference Series. 2017;801:012084.
Lilia Ortega-Gonzalez, Melisa Acosta-Coll, Gabriel Pi Espitia, Shariq Aziz Butt. Communication protocols evaluation for a wireless rainfall monitoring network in an urban area. Heliyon. 2021:e07353.
Nawar AK, Altaleb MK. A Low-Cost Real-Time Monitoring System for the River Level in Wasit Province. 2021 International Conference on Advance of Sustainable Engineering and its Application (ICASEA). 2021:54-58. .
Nasution TH, Siagian EC, Tanjung K, Soeharwinto. Design of river height and speed monitoring system by using Arduino. IOP Conference Series: Materials Science and Engineering. 2018;308:012031.
Baker T, Asim M, Tawfik H, Aldawsari B, Buyya R. An energy-aware service composition algorithm for multiple cloud-based IoT applications. Journal of Network and Computer Applications. 2017;89:96–108.
Al-Turjman F, Altrjman C. Energy consumption monitoring in IoT-based Smart Cities. Intelligence in IoT-enabled Smart Cities. 2018;7–26.
Liu P, Huang Z, Duan S, Wang Z, He J. Optimization for remote monitoring terrestrial petroleum pipeline cathode protection system using graded network. International Journal of Smart Home. 2015;9(6):51–64.
Mohammed Zeki Al-Faiz, L. Saadi Mezher. Sacrificial anode cathodic protection remote monitoring and control using labview and micaz motes. Journal of Engineering and Sustainable Development (JEASD). 2014;18(1):33–45.
Wang X, Hu M, Huang Y, Gu J, Gao S, Miao Z. Design and implementation of the remote control of ICCP Systems. The 26th Chinese Control and Decision Conference (2014 CCDC), 2014.
Yogesh. Introduction to Arduino UNO BOARD. Programming and Interfacing with Arduino. 2021:1-13.
Molnar A, Magoon R, Hatcher G, Zachan J, Rhee W, Damgaard M, Domino W, Vakilian N. A single-chip QUAD-BAND (850/900/1800/1900 Mhz) Direct-conversion GSM/GPRS RF transceiver with INTEGRATED VCOS and fractional-N synthesizer. 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315).
Sharmad Pasha. Thingspeak Based Sensing and Monitoring System for IoT with Matlab Analysis. International Journal of New Technology and Research (IJNTR). 2016;2(6):19-23.
ThingSpeak. The Things Network. [Online]. Available: https://www.thethingsnetwork.o....
Evans B. Serial and I2C. Beginning Arduino Programmin. 2011;175–200.
Chapter 3 the real interpolation method. North-Holland Mathematical Library. 1991: 289–492.
Willmott CJ, Matsuura K. Advantages of the mean absolute error (mae) over the root mean square error (RMSE) in assessing average model performance. Climate Research. 2005;30:79–82.
Journals System - logo
Scroll to top