Application of Artificial Intelligence in Marine Corrosion Prediction and Detection

Abstract

One of the biggest problems the maritime industry is currently experiencing is corrosion, resulting in short and long-term damages. Early prediction and proper corrosion monitoring can reduce economic losses. Traditional approaches used in corrosion prediction and detection are time-consuming and challenging to execute in inaccessible areas. Due to these reasons, artificial intelligence-based algorithms have become the most popular tools for researchers. This study discusses state-of-the-art artificial intelligence (AI) methods for marine-related corrosion prediction and detection: (1) predictive maintenance approaches and (2) computer vision and image processing approaches. Furthermore, a brief description of AI is described. The outcomes of this review will bring forward new knowledge about AI and the development of prediction models which can avoid unexpected failures during corrosion detection and maintenance. Moreover, it will expand the understanding of computer vision and image processing approaches for accurately detecting corrosion in images and videos.

Corrosion Risk for Process Safety in the Chemical Industry

“…Literature is full of developing corrosion models, especially during the last three years (2021 -2023) [40,[44][45][46][47]. This singularity (explosion of research works and information) occurred owing to the use of Artificial Intelligence (AI) methods [48][49][50][51][52][53]. A comprehensive review and analysis of AI application in corrosion is outside of the scope of this paper.…”

“…The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, problem-solving, generalize, perception, and learn from experience. Among the different AI techniques, machine learning (ML), pattern recognition (PR), and deep learning (DL) have recently acquired considerable attention in corrosion engineering [44][45][46][47][48][49][50][51][52].…”

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

“…To evaluate pipeline performance and detect flaws early on for preventive maintenance of facilities, corrosion monitoring is essential 2 . This is because losses can be minimised through early prediction and effective corrosion monitoring 3 .…”

“…Corrosion is an occurrence that has negative financial effects on some sectors 4 . According to the National Association of Corrosion Engineers (NACE) and the World Corrosion Organisation (WCO), the yearly cost of corrosion-related issues worldwide is estimated to be $US2.4 trillion, or 3% of global GDP 2 , 3 . Over 7359 spills with a total release of 3,114,255 barrels, valued at $247,957,000, have occurred in Nigeria as of 2012.…”

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

“…Researchers have developed models capable of accurately detecting and segmenting corrosion in images. These models have achieved high accuracy in identifying various types of corrosion damage, including corroded segments of quay walls [147], marine-related corrosion in the maritime industry [148], and corrosion in civil infrastructures such as bridges and buildings [149].…”