Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution
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 guida...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-03175-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849238875146289152 |
|---|---|
| author | Jing Li Jianhua Gong Jun Shen Kege Yang Jin Zhou Yihong Liao |
| author_facet | Jing Li Jianhua Gong Jun Shen Kege Yang Jin Zhou Yihong Liao |
| author_sort | Jing Li |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-ccbb9efe74384ecfa2508e1bd2f8d33b |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-ccbb9efe74384ecfa2508e1bd2f8d33b2025-08-20T04:01:23ZengNature PortfolioScientific Reports2045-23222025-07-0115111610.1038/s41598-025-03175-5Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distributionJing Li0Jianhua Gong1Jun Shen2Kege Yang3Jin Zhou4Yihong Liao5Environment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company SafetyPetroChina Southwest Oil and Gas Field CompanyEnvironment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company SafetyPetroChina Southwest Oil and Gas Field CompanyEnvironment and Technology Supervision Research Institute, PetroChina Southwest Oil and Gas Field Company SafetySchool of Petroleum and Gas Engineering, Southwest Petroleum UniversityAbstract 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.https://doi.org/10.1038/s41598-025-03175-5 |
| spellingShingle | Jing Li Jianhua Gong Jun Shen Kege Yang Jin Zhou Yihong Liao Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution Scientific Reports |
| title | Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution |
| title_full | Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution |
| title_fullStr | Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution |
| title_full_unstemmed | Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution |
| title_short | Corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution |
| title_sort | corrosion prediction in medium pressure vent pipes at high sulfur field stations through numerical analysis of internal wall liquid phase distribution |
| url | https://doi.org/10.1038/s41598-025-03175-5 |
| work_keys_str_mv | AT jingli corrosionpredictioninmediumpressureventpipesathighsulfurfieldstationsthroughnumericalanalysisofinternalwallliquidphasedistribution AT jianhuagong corrosionpredictioninmediumpressureventpipesathighsulfurfieldstationsthroughnumericalanalysisofinternalwallliquidphasedistribution AT junshen corrosionpredictioninmediumpressureventpipesathighsulfurfieldstationsthroughnumericalanalysisofinternalwallliquidphasedistribution AT kegeyang corrosionpredictioninmediumpressureventpipesathighsulfurfieldstationsthroughnumericalanalysisofinternalwallliquidphasedistribution AT jinzhou corrosionpredictioninmediumpressureventpipesathighsulfurfieldstationsthroughnumericalanalysisofinternalwallliquidphasedistribution AT yihongliao corrosionpredictioninmediumpressureventpipesathighsulfurfieldstationsthroughnumericalanalysisofinternalwallliquidphasedistribution |