Prediction of liquid accumulation in a shale gas pipeline

Liquid accumulation in low-lying and uphill sections of undulating shale gas pipelines significantly threatens transportation efficiency, pressure stability, and pipeline integrity due to corrosion. Accurate prediction of liquid holdup is therefore critical for flow assurance. This study investigates the liquid distribution in a shale gas pipeline through orthogonal testing, analyzing key operational factors including water and gas flow rates. The formation mechanisms and the relative significance of these factors on liquid accumulation are systematically elucidated. Subsequently, a predictive mathematical model correlating operational parameters with liquid accumulation volume is developed. The model's accuracy is rigorously validated against simulation results obtained from the industry-standard OLGA multiphase flow software. The findings of this study establish a theoretical foundation for optimizing pigging operations, thereby enhancing pipeline transport efficiency and reducing operational costs.

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Publication Details

Journal
Scientific Reports
Published
2026-01-30
DOI
https://doi.org/10.1038/s41598-026-37157-y
Primary Topic
Water Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of liquid accumulation in a shale gas pipeline

Xiong Zhou, L. Fang, Zhenqiang Xie, Wei-dong Zhao
Scientific Reports
Water Systems and Optimization
article

Prediction of liquid accumulation in a shale gas pipeline

Xiong Zhou, L. Fang, Zhenqiang Xie, Wei-dong Zhao
article en

Abstract

Liquid accumulation in low-lying and uphill sections of undulating shale gas pipelines significantly threatens transportation efficiency, pressure stability, and pipeline integrity due to corrosion. Accurate prediction of liquid holdup is therefore critical for flow assurance. This study investigates the liquid distribution in a shale gas pipeline through orthogonal testing, analyzing key operational factors including water and gas flow rates. The formation mechanisms and the relative significance of these factors on liquid accumulation are systematically elucidated. Subsequently, a predictive mathematical model correlating operational parameters with liquid accumulation volume is developed. The model's accuracy is rigorously validated against simulation results obtained from the industry-standard OLGA multiphase flow software. The findings of this study establish a theoretical foundation for optimizing pigging operations, thereby enhancing pipeline transport efficiency and reducing operational costs.

Scientific ReportsVol. 16(1)
Beibu Gulf University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Guangxi Province, Beibu Gulf University
Industry, innovation and infrastructure
Openalex Percentile: Top 73%
Water Systems and Optimization
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