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 …

[HTML][HTML] Review of conventional and advanced non-destructive testing techniques for detection and characterization of small-scale defects

MI Silva, E Malitckii, TG Santos, P Vilaça - Progress in Materials Science, 2023 - Elsevier
Inspection reliability of small-scale defects, targeting dimensions below 100 µm, is crucial for
structural safety of critical components in high-value applications. Early defects are often …

[HTML][HTML] A novel efficient energy optimization in smart urban buildings based on optimal demand side management

BN Alhasnawi, BH Jasim, AN Alhasnawi… - Energy Strategy …, 2024 - Elsevier
Increasing electrical energy consumption during peak hours leads to increased electrical
energy losses and the spread of environmental pollution. For this reason, demand-side …

[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 …

Feature selection of acoustic signals for leak detection in water pipelines

Z Xu, H Liu, G Fu, Y Zeng, Y Li - Tunnelling and Underground Space …, 2024 - Elsevier
Water pipelines often have small cracks and leaks over time due to various degradation
process. Acoustic emission technique is an outstanding method in leak detection for low cost …

A review on Bayesian modeling approach to quantify failure risk assessment of oil and gas pipelines due to corrosion

AA Soomro, AA Mokhtar, JC Kurnia, N Lashari… - International Journal of …, 2022 - Elsevier
To forecast safety and security measures, it is vital to evaluate the integrity of a pipeline used
to carry oil and gas that has been subjected to corrosion. Corrosion is unavoidable, yet …

Promoted Osprey Optimizer: a solution for ORPD problem with electric vehicle penetration

Z Liu, X Jian, T Sadiq, ZA Shaikh, O Alfarraj… - Scientific Reports, 2024 - nature.com
This paper proposes a new optimization technique to make an integration between the
Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles (EV). Here, a …

Mobile augmented reality-based visualization framework for lifecycle O&M support of urban underground pipe networks

M Li, X Feng, Y Han, X Liu - Tunnelling and Underground Space …, 2023 - Elsevier
The structural deterioration of urban underground pipe networks is the accumulated
combined effects of physical, environmental and operational factors during the whole …

Machine learning for ultrasonic nondestructive examination of welding defects: A systematic review

H Sun, P Ramuhalli, RE Jacob - Ultrasonics, 2023 - Elsevier
Recent years have seen a substantial increase in the application of machine learning (ML)
for automated analysis of nondestructive examination (NDE) data. One of the applications of …

Green Supply Chain Management Optimization Based on Chemical Industrial Clusters

L Jihu - arxiv preprint arxiv:2406.00478, 2024 - arxiv.org
Post-pandemic, the chemical sector faces new challenges crucial to national progress, with
a pressing need for rapid transformation and upgrading. The pandemic's impact and …