Development of natural gas quality tracking technology: From steady-state simulation to intelligent hybrid modeling

With the creation of China’s National Integrated Pipeline Network and the transition to natural gas energy measurement, quality fluctuations caused by multisource gas mixing pose severe challenges to trade fairness and pipeline network safety. As a key technology for achieving accurate energy measurement, natural gas quality tracking has undergone a paradigm shift: from steady-state hydraulic calculations to transient composition tracking, and then to intelligent modeling paradigms that feature mechanism-data-driven collaboration. Through a systematic review of technological developments and an analysis of core algorithms, this paper highlights the core value of this technology, namely, its ability to significantly reduce reliance on online gas chromatographs, thereby providing a technical solution to promote energy measurement at Class B and C station yards. It further explores the new challenges presented by hydrogen-blended natural gas and other novel gas sources, including property calculations, numerical dissipation, and safety assessments. Ultimately, future research on this technology should focus on the deep integration of mechanistic models and artificial intelligence, propelling quality-tracking technology toward high precision, strong real-time capabilities, and wide adaptability. This review aims to provide a theoretical reference and technical support for the development of China’s self-sufficient, controllable natural gas energy measurement system.

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Publication Details

Journal
International Journal of Fluid Engineering
Published
2026-10-06
DOI
https://doi.org/10.1063/5.0316390
Primary Topic
Flow Measurement and Analysis
Type
article
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article

Development of natural gas quality tracking technology: From steady-state simulation to intelligent hybrid modeling

Jun Leng, Chen Fuquan, Min Lin, Yuxing Zou
International Journal of Fluid Engineering
Flow Measurement and Analysis
article

Development of natural gas quality tracking technology: From steady-state simulation to intelligent hybrid modeling

Jun Leng, Chen Fuquan, Min Lin, Yuxing Zou
article en

Abstract

With the creation of China’s National Integrated Pipeline Network and the transition to natural gas energy measurement, quality fluctuations caused by multisource gas mixing pose severe challenges to trade fairness and pipeline network safety. As a key technology for achieving accurate energy measurement, natural gas quality tracking has undergone a paradigm shift: from steady-state hydraulic calculations to transient composition tracking, and then to intelligent modeling paradigms that feature mechanism-data-driven collaboration. Through a systematic review of technological developments and an analysis of core algorithms, this paper highlights the core value of this technology, namely, its ability to significantly reduce reliance on online gas chromatographs, thereby providing a technical solution to promote energy measurement at Class B and C station yards. It further explores the new challenges presented by hydrogen-blended natural gas and other novel gas sources, including property calculations, numerical dissipation, and safety assessments. Ultimately, future research on this technology should focus on the deep integration of mechanistic models and artificial intelligence, propelling quality-tracking technology toward high precision, strong real-time capabilities, and wide adaptability. This review aims to provide a theoretical reference and technical support for the development of China’s self-sufficient, controllable natural gas energy measurement system.

International Journal of Fluid EngineeringVol. 4(1)
Line Corporation (Japan) (JP)
Openalex Percentile: Top 22%
Flow Measurement and Analysis
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