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 …
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
Modern engineering faces challenges in ensuring technical standards for service, durability,
and sustainability. Political, administrative, and budgetary factors, coupled with climate …
and sustainability. Political, administrative, and budgetary factors, coupled with climate …
Prediction of electrochemical corrosion behavior of magnesium alloy using machine learning methods
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 …
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
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 …
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 …
by proposing an improved YOLO v5-GOLD-NWD model. Utilizing corrosion data from the …
Computer vision and image processing approaches for corrosion detection
Corrosion is an undesirable phenomenon resulting in material deterioration and
degradation through electrochemical or chemical reactions with the surrounding …
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 …
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
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 …
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 …
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
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 …
resulting in annual economic losses amounting to billions of dollars. To address these …