A comprehensive review of corrosion protection and control techniques for metallic pipelines

HMH Farh, MEAB Seghier, T Zayed - Engineering Failure Analysis, 2023 - Elsevier
Metallic pipelines carrying water and/or oil/gas are exposed to deterioration, leaks/bursts,
and failures due to corrosion. A suitable corrosion protection technique can prevent …

Evolution of corrosion prediction models for oil and gas pipelines: From empirical-driven to data-driven

Q Wang, Y Song, X Zhang, L Dong, Y **, D Zeng… - Engineering Failure …, 2023 - Elsevier
Oil and gas pipelines are under great threat of corrosion due to the harsh service
environment. It is critical to predict corrosion for the safe service of pipelines. Classical …

Emerging AI technologies for corrosion monitoring in oil and gas industry: A comprehensive review

AH Khalaf, Y **ao, N Xu, B Wu, H Li, B Lin, Z Nie… - Engineering Failure …, 2024 - Elsevier
Corrosion presents a daunting challenge to the oil and gas industry, resulting in substantial
maintenance expenses and productivity losses. Conventional corrosion monitoring …

Development of quantum machine learning to evaluate the corrosion inhibition capability of pyrimidine compounds

M Akrom, S Rustad, HK Dipojono - Materials Today Communications, 2024 - Elsevier
This investigation employs a quantum neural network (QNN) synergistically integrated with a
quantitative structure-property relationship (QSPR) model for the comprehensive evaluation …

Data-driven investigation to model the corrosion inhibition efficiency of Pyrimidine-Pyrazole hybrid corrosion inhibitors

M Akrom, S Rustad, AG Saputro… - … and Theoretical Chemistry, 2023 - Elsevier
This paper proposes a quantitative structure–property relationship model (QSPR) based on
machine learning (ML) for a pyrimidine-pyrazole hybrid as a corrosion inhibitor. Based on …

The research progress and prospect of data mining methods on corrosion prediction of oil and gas pipelines

L Xu, Y Wang, L Mo, Y Tang, F Wang, C Li - Engineering Failure Analysis, 2023 - Elsevier
As the principal means of oil and natural gas transportation, oil and gas pipeline systems
suffer from common corrosion problems, accurate corrosion prediction of oil and gas …

[HTML][HTML] Prediction of oil and gas pipeline failures through machine learning approaches: A systematic review

AM Al-Sabaeei, H Alhussian, SJ Abdulkadir… - Energy Reports, 2023 - Elsevier
Pipelines are vital for transporting oil and gas, but leaks can have serious consequences
such as fires, injuries, pollution, and property damage. Therefore, preserving pipeline …

A multi-objective optimization strategy for building carbon emission from the whole life cycle perspective

R Chen, YS Tsay, T Zhang - Energy, 2023 - Elsevier
This research proposed an integrated strategy for building performance optimization from
the whole life cycle perspective to explore the optimal building scheme. After the feature …

Prediction of Anti-Corrosion performance of new triazole derivatives via Machine learning

M Akrom, S Rustad, HK Dipojono - Computational and Theoretical …, 2024 - Elsevier
This paper endeavors to present an in-depth investigation into the corrosion inhibition
efficiency (CIE) of novel triazole derivatives serving as corrosion inhibitors. Among the array …

A critical review of machine learning algorithms in maritime, offshore, and oil & gas corrosion research: A comprehensive analysis of ANN and RF models

MMH Imran, S Jamaludin, AFM Ayob - Ocean Engineering, 2024 - Elsevier
Corrosion presents significant challenges in the marine, offshore, and oil and gas industries,
resulting in annual economic losses amounting to billions of dollars. To address these …