[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 …

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 …

Solving multi-objective optimization problem of convolutional neural network using fast forward quantum optimization algorithm: Application in digital image …

P Singh, MK Muchahari - Advances in Engineering Software, 2023 - Elsevier
Convolutional neural network (CNN) has evolved as a new algorithm that has demonstrated
its effectiveness in real-time issue solving over many other machine learning (ML) …

Opportunities and challenges to develop digital twins for subsea pipelines

BQ Chen, PM Videiro, C Guedes Soares - Journal of Marine Science and …, 2022 - mdpi.com
A vision of the digital twins of the subsea pipelines is provided in this paper, with a coverage
of the current applications and the challenges of the digital twins in the design, construction …

Data modeling techniques for pipeline integrity assessment: A state-of-the-art survey

J Ling, K Feng, T Wang, M Liao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Pipelines are economical and efficient modes of transporting oil and gas. Pipelines will
inevitably confront various risk factors throughout their lifespan, which could lead to defects …

Application of artificial intelligence hybrid models in safety assessment of submarine pipelines: Principles and methods

S Zhang, A Zhang, P Chen, H Li, X Zeng, S Chen… - Ocean …, 2024 - Elsevier
Submarine pipeline is a critical component for exploiting marine oil and gas resources. The
aging of pipelines is becoming increasingly serious, and any damage or rupture can lead to …

Corroded pipeline assessment using neural networks, the Finite Element Method and discrete wavelet transforms

ADM Ferreira, RB Willmersdorf, SMB Afonso - Advances in Engineering …, 2024 - Elsevier
An essential task in the oil and gas industry is establishing an efficient way to assess
corroded pipeline integrity. The literature shows that integrity analysis with Finite Elements …

Application of wavelet transforms to the simulation of corrosion fields on buried pipelines

J Lin, W Zhou, XZ Cui, HP Hong - Computers & Structures, 2023 - Elsevier
The present study presents a framework to analyze and simulate nonhomogeneous non-
Gaussian corrosion fields on the external surface of buried in-service pipelines by using …

A study of neural network-based evaluation methods for pipelines with multiple corrosive regions

Z Zhang, S Li, H Wang, H Qian, C Gong, Q Wu… - Reliability Engineering & …, 2025 - Elsevier
In recent years, significant developments have been made in methods for assessing the
remaining strength of corroded pipelines. However, existing methods have limitations as …

Enhancing pipeline integrity: a comprehensive review of deep learning-enabled finite element analysis for stress corrosion cracking prediction

U Sarwar, AA Mokhtar, M Muhammad… - Engineering …, 2024 - Taylor & Francis
Pipelines are crucial for transporting energy sources, yet corrosion especially stress
corrosion cracking (SCC) poses a complex and potentially catastrophic form of material …