Enhancing Probe‐Based Corrosion Monitoring Accuracy in Undulating Pipelines: Quantifying Effectiveness Based on Flow‐Induced Mechanisms and a Correction Model

ABSTRACT High water‐cut crude pipelines in undulating terrain face severe corrosion risks, but corrosion probe data often misrepresents actual pipe wall conditions. This study employed laboratory flow loop experiments, corrosion product analysis, and CFD modeling to quantitatively evaluate probe effectiveness. Results show distinct corrosion rate differences between upward/downward pipe walls and internal probes, driven by localized variations in flow velocity, wall shear stress, and turbulent kinetic energy. Based on these mechanisms, a novel correction model was developed specifically for probe monitoring in undulating pipelines. Field validation confirmed the model significantly enhances monitoring accuracy to over 95%, resolving prior unreliability issues. This provides a robust framework and practical tool for improved corrosion rate assessment, critically supporting pipeline integrity management in late‐stage oil fields.

Authors

Institutions

Publication Details

Journal
Materials and Corrosion
Published
2025-09-26
DOI
https://doi.org/10.1002/maco.70050
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Probe‐Based Corrosion Monitoring Accuracy in Undulating Pipelines: Quantifying Effectiveness Based on Flow‐Induced Mechanisms and a Correction Model

Haoyu Wu, Guoxi He, Yuhan Liu, Xinhui Li et al.
Materials and Corrosion
Non-Destructive Testing Techniques
article

Enhancing Probe‐Based Corrosion Monitoring Accuracy in Undulating Pipelines: Quantifying Effectiveness Based on Flow‐Induced Mechanisms and a Correction Model

Haoyu Wu, Guoxi He, Yuhan Liu, Xinhui Li, Liying Sun, Linshuang Wu, Zhao Yang, Kexi Liao
article en

Abstract

ABSTRACT High water‐cut crude pipelines in undulating terrain face severe corrosion risks, but corrosion probe data often misrepresents actual pipe wall conditions. This study employed laboratory flow loop experiments, corrosion product analysis, and CFD modeling to quantitatively evaluate probe effectiveness. Results show distinct corrosion rate differences between upward/downward pipe walls and internal probes, driven by localized variations in flow velocity, wall shear stress, and turbulent kinetic energy. Based on these mechanisms, a novel correction model was developed specifically for probe monitoring in undulating pipelines. Field validation confirmed the model significantly enhances monitoring accuracy to over 95%, resolving prior unreliability issues. This provides a robust framework and practical tool for improved corrosion rate assessment, critically supporting pipeline integrity management in late‐stage oil fields.

Materials and CorrosionVol. 77(2)
Southwest Petroleum University (CN), Gas Technology Institute (US), China National Petroleum Corporation (China) (CN)
Openalex Percentile: Top 73%
Non-Destructive Testing Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.