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1.中油国际管道公司,北京 102200
2.中国石油西南油气田公司,四川 成都 610000
3.国家管网集团北方管道有限责任公司北京输油气分公司,北京 102400
4.西南石油大学 化学化工学院,四川 成都 610500
袁运栋(1971—),硕士,高级工程师,研究方向为油气管道输送绿色低碳转型,E-mail:yundong.yuan@cnpc.com.cn。
任宏洋(1980—),博士,教授,研究方向为减污降碳技术,E-mail:rhyswpu@163.com。
收稿日期:2024-10-15,
修回日期:2024-12-05,
网络出版日期:2025-05-06,
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袁运栋,严芩,张宇等.天然气集输过程碳排放行为及核算研究进展[J].低碳化学与化工,
YUAN Yundong,YAN Qin,ZHANG Yu,et al.Research progress on carbon emission behavior and accounting in natural gas gathering and transportation process[J].Low-Carbon Chemistry and Chemical Engineering,
袁运栋,严芩,张宇等.天然气集输过程碳排放行为及核算研究进展[J].低碳化学与化工, DOI:10.12434/j.issn.2097-2547.20240422.
YUAN Yundong,YAN Qin,ZHANG Yu,et al.Research progress on carbon emission behavior and accounting in natural gas gathering and transportation process[J].Low-Carbon Chemistry and Chemical Engineering, DOI:10.12434/j.issn.2097-2547.20240422.
天然气作为清洁能源的重要组成部分,其集输过程的碳排放控制已成为油气行业低碳发展的重要议题。为优化相关碳排放核算方法和减排技术,综述了天然气集输过程碳排放行为及核算研究进展。首先,根据典型工艺和主要设备,明确了天然气集输过程的直接排放、间接排放和隐含排放环节。其次,对主流碳排放核算方法(碳排放因子核算法、碳足迹全生命周期分析方法和核算监测一体化方法)的技术原理、适用场景、优势与不足进行了分析。最后,结合国内外技术发展趋势,探讨了基于卫星遥感与大数据分析的协同技术在天然气集输过程碳排放管理中的应用潜力。研究表明,碳排放因子核算法具有较高的标准化和一致性,但对数据质量要求较高;碳足迹全生命周期分析方法覆盖范围全面,可识别全流程的碳排放来源和减排潜力,但评价过程复杂;核算监测一体化方法结合实时监测技术,显著提高了核算动态性和精度,但对资金和技术投入要求较高。未来研究应进一步结合不同方法的优势,提高碳排放因子的精准性,加强全生命周期视角与实时监测技术的结合,为构建全面、精准的碳排放核算体系提供支持,进而助力油气行业碳排放管理和低碳转型。
As an important part of clean energy
the control of carbon emissions in the gathering and transportation process of natural gas has become a key issue for the low-carbon development of the oil and gas industry. To optimize relevant carbon emission accounting methods and reduction technologies
the research progress on carbon emission behavior and accounting in the natural gas gathering and transportation process was reviewed. First
based on typical processes and key equipment
the direct emissions
indirect emissions and embedded emissions in the natural gas gathering and transportation process were identified. Second
the technical principles
applicable scenarios
advantages and disadvantages of the mainstream carbon emission accounting methods (emission factor-based method
life cycle assessment (LCA)-based carbon footprint analysis and integrated accounting-monitoring method) were analyzed. Finally
combined with the trends in domestic and international technology development
the potential applications of collaborative technologies based on satellite remote sensing and big data analysis in carbon emission management during the natural gas gathering and transportation process were discussed. The study shows that the emission factor-based method ensures standardization and consistency but relies heavily on data quality. The LCA-based method provides comprehensive coverage
identifying emissions and reduction opportunities across the entire life cycle
yet involves complex data collection and evaluation processes. The integrated accounting-monitoring method
which combines real-time monitoring technology
significantly improves the dynamics and accuracy of accounting
but requires high funding and technical support. Future research should focus on integrating the strengths of these methods
refining emission factors and combining life cycle perspectives with real-time monitoring techniques to establish a comprehensive
precise carbon accounting system and support low-carbon transition efforts in the oil and gas industry .
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