Monitoring corrosion in oil pipelines using non-destructive test

Nsaif jasim Hadi jasim Hadi; Ahmed Atiyah Itwayya; Ameer L. Saleh; Hayder Tarar

doi:10.21533/pen.v7i4.859

Monitoring corrosion in oil pipelines using non-destructive test

Nsaif jasim Hadi jasim Hadi, Ahmed Atiyah Itwayya, Ameer L. Saleh, Hayder Tarar

Abstract

The age of the pipelines is a factor in increasing the potential risk to corrosion in pipelines hence reduces the safety of pipelines, and gets pipelines more likely to explosion or breakage. Thus, that will threaten the safety of individuals and the environment. According to corrosion is the main reason that threatens the pipeline. The danger is not limited to residents, but it could be worrisome if any the leak happened near the water sources. Thus, it will be difficult to address quickly, and requires significant costs could reach billions of dollars. Therefore, it is important to study the reasons that could be caused the pipeline explosion to avoided any effects could be happened, for example, in this paper we will focused on corrosion that happened in oil pipe depending on ultrasonic test methods (UT) to test sample of pipeline. Ultrasonic test is a test which is done by transfer a high frequency pulse through test object and receives a reflected echoes by analyzing the reflected waves which will help us to determine the thickness and other material properties.

Keywords

Corrosion, Wave, Reflection, Non-destructive test, ultrasonic test, C-scan

Full Text:

PDF

References

F. Jiang, S. Liu, and H. Zhang, “Characterisation of cylindrical hidden corrosion using 2D analytical modelling of the surface magnetic field,” Insight - Non-Destructive Testing and Condition Monitoring, vol. 60, no. 9, pp. 501–507, Sep. 2018.

E. S. Ameh, S. C. Ikpeseni, and L. S. Lawal, “A Review of Field Corrosion Control and Monitoring Techniques of the Upstream Oil and Gas Pipelines,” Nigerian Journal of Technological Development, vol. 14, no. 2, p. 67, Jan. 2018.

R. Suwalak and C. Phongcharoenpanich, “Non-destructive determination of coconut oil using microwave dielectric constant sensing,” Acta Horticulturae, no. 1256, pp. 59–62, Oct. 2019.

N. Sciences, A. H. Dakheel, A. H. Dakheel, H. H. Abbas, and A. Info, “Intrusion detection system in gas-pipeline industry using machine learning,” Period. Eng. Nat. Sci., vol. 7, no. 3, pp. 1030–1040, 2019.

S. Rashid, A. Ahmed, I. Al Barazanchi, and Z. A. Jaaz, “Clustering algorithms subjected to K-mean and gaussian mixture model on multidimensional data set,” Period. Eng. Nat. Sci., vol. 7, no. 2, pp. 448–457, 2019.

V. V. Thendral Tharmalingam, “An Efficient Convolutional Neural Network Based Classifier to Predict Tamil Writer,” Period. Eng. Nat. Sci., vol. 6, no. 1, pp. 285–295, 2018.

S. Imashuku and K. Wagatsuma, “Non-destructive evaluation of alumina scale on heat-resistant steels using cathodoluminescence and X-ray-excited optical luminescence,” Corrosion Science, vol. 154, pp. 226–230, Jul. 2019.

S. Nešić, A. Kahyarian, and Y. S. Choi, “Implementation of a Comprehensive Mechanistic Prediction Model of Mild Steel Corrosion in Multiphase Oil and Gas Pipelines,” CORROSION, vol. 75, no. 3, pp. 274–291, Dec. 2018.

Y. Lugovtsova and J. Prager, “Structural health monitoring of composite pressure vessels using guided ultrasonic waves,” Insight - Non-Destructive Testing and Condition Monitoring, vol. 60, no. 3, pp. 139–144, Mar. 2018.

H. A. M. Gamal, T. M. Zewail, and E.-S. Z. El-Ashtoukhy, “Effect of crude oil on the rate of diffusion-controlled corrosion in pipelines under turbulent flow conditions,” Corrosion Reviews, vol. 36, no. 5, pp. 483–493, Sep. 2018.

DOI: http://dx.doi.org/10.21533/pen.v7i4.859

Refbacks

There are currently no refbacks.

This work is licensed under a Creative Commons Attribution 4.0 International License.

ISSN: 2303-4521

Digital Object Identifier DOI: 10.21533/pen

This work is licensed under a Creative Commons Attribution 4.0 International License

Username
Password
Remember me