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

AH Khalaf, Y Xiao, 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 …

Degradation Models and Maintenance Strategies for Reinforced Concrete Structures in Coastal Environments under Climate Change: A Review

LF Rincon, YM Moscoso, AEA Hamami, JC Matos… - Buildings, 2024 - mdpi.com
Modern engineering faces challenges in ensuring technical standards for service, durability,
and sustainability. Political, administrative, and budgetary factors, coupled with climate …

Prediction of electrochemical corrosion behavior of magnesium alloy using machine learning methods

A Moses, D Chen, P Wan, S Wang - Materials Today Communications, 2023 - Elsevier
The corrosion of magnesium (Mg) alloys is a major challenge in many industrial applications
because of their extreme reactivity, this greatly limits their applicability. The traditional …

Integrating advanced technologies in corrosion and inspection management for oil and gas operations

PO Odili, CD Daudu, A Adefemi, IO Ekemezie… - Engineering Science & …, 2024 - fepbl.com
The oil and gas industry is witnessing a paradigm shift in corrosion detection, inspection
methodologies, and maintenance practices due to the integration of advanced technologies …

Detection and Analysis of Corrosion on Coated Metal Surfaces Using Enhanced YOLO v5 Algorithm for Anti-Corrosion Performance Evaluation

Q Yu, Y Han, W Lin, X Gao - Journal of Marine Science and Engineering, 2024 - mdpi.com
This study addresses the severe corrosion issues in the coastal regions of southern China
by proposing an improved YOLO v5-GOLD-NWD model. Utilizing corrosion data from the …

Computer vision and image processing approaches for corrosion detection

AAIM Ali, S Jamaludin, MMH Imran, AFM Ayob… - Journal of Marine …, 2023 - mdpi.com
Corrosion is an undesirable phenomenon resulting in material deterioration and
degradation through electrochemical or chemical reactions with the surrounding …

Investigating the synergistic effect of fish waste extract and KI on the corrosion inhibition of carbon steel in sulfuric acid solution

R Wang, J Wang, X Sun, C Zhao, R Aslam… - Journal of Industrial and …, 2024 - Elsevier
Biowaste has become a serious problem that can lead to serious environmental pollution
and waste of resources if not handled properly. Waste materials are often high in proteins …

Development of a novel virtual reality-enabled remote monitoring device for maintenance of cathodic protection systems on oil and gas pipelines

CE Mgbemena, DO Onuoha, HC Godwin - Scientific Reports, 2023 - nature.com
Periodic inspections are required for oil and gas pipelines equipped with cathodic protection
systems (CPS) to prevent corrosion. This inspection takes time and requires money …

[HTML][HTML] Corrosion area detection and depth prediction using machine learning

EY Son, D Jeong, MJ Oh - International Journal of Naval Architecture and …, 2024 - Elsevier
Corrosion reduces the thickness of a structure, making it less safe and reducing its lifespan.
In particular, ships are vulnerable to corrosion because they are always submerged in …

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 …