Evidence map›Paper›PMID 40594010›Full record

ArticleScientific reports2025

Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution.

Jing Li, Jianhua Gong, Jun Shen, Kege Yang, Jin Zhou, Yihong Liao

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jing LiEnvironment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company Safety, Chengdu, 610400, Sichuan Province, P.R. China. jingl163163@163.com.
Jianhua GongPetroChina Southwest Oil and Gas Field Company, Chengdu, 610051, Sichuan Province, P.R. China.
Jun ShenEnvironment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company Safety, Chengdu, 610400, Sichuan Province, P.R. China.
Kege YangPetroChina Southwest Oil and Gas Field Company, Chengdu, 610051, Sichuan Province, P.R. China.
Jin ZhouEnvironment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company Safety, Chengdu, 610400, Sichuan Province, P.R. China.
Yihong LiaoSchool of Petroleum and Gas Engineering, Southwest Petroleum University, Chengdu, 610500, Sichuan Province, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In actual production activities, the venting pipeline systems in high-sulfur natural gas processing plants are often affected by internal corrosion, leading to reduced service life. To determine the optimal corrosion monitoring points within the venting pipelines and provide effective guidance for blowdown operation management, this study conducted a comprehensive predictive analysis of internal corrosion phenomena in the venting pipeline systems of high-sulfur natural gas processing plants. Computational Fluid Dynamics (CFD) is utilized to analyze corrosion at different cross-sections within the medium-pressure venting pipeline, considering the effects of flow field distribution, liquid phase distribution, and hydrogen sulfide distribution. Through comparison of numerical analysis results and measured data from high-sulfur natural gas field stations, the suggested analysis method is validated to be reliable and accurate. The results indicate that the distribution of the liquid phase plays a pivotal role in causing internal corrosion within the venting pipeline of high-sulfur natural gas stations. The areas most severely affected by corrosion are identified as follows: at the blind end of pipeline tees (specifically at 3, 6, and 9 o'clock positions), near the blind end at 6 o'clock, at the air inlet (positions 3, 9, and 12 o'clock), at the air outlet (position 6 o'clock), and at elbows (positions 3, 6, and 9 o'clock). The results of this study effectively contribute to predicting the locations of internal corrosion within the venting pipeline of high-sulfur natural gas field stations and providing corresponding maintenance strategies.

Identifiers

PMID40594010
PMCPMC12214777

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.