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Research on key technologies and applications of intelligent gas reservoir digital twin system driven by big data
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YALONG SUN1, 2, HAO NIU1, 2, YONGLI ZHANG1, 2, YUXUAN CHEN1, 2, YI GU1, 2, JUNLING FANG3, SHIFAN ZHANG4
Petroleum Reservoir Evaluation and Development | 2026, 16(2) : 479 - 488
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Petroleum Reservoir Evaluation and Development | 2026, 16(2): 479-488
• Comprehensive Research •
Research on key technologies and applications of intelligent gas reservoir digital twin system driven by big data
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YALONG SUN1, 2, HAO NIU1, 2, YONGLI ZHANG1, 2, YUXUAN CHEN1, 2, YI GU1, 2, JUNLING FANG3, SHIFAN ZHANG4
Affiliations
  • 1 Gas Field Company, Shaanxi Yanchang Petroleum (Group) Co., Ltd., Yan’an, Shaanxi 716000, China
  • 2 Yan’an City Natural Gas Exploration and Development Engineering Technology Research Center, Yan’an, Shaanxi 716000, China
  • 3 Tracy Energy Technologies Company Limited, Hangzhou, Zhejiang 310000, China
  • 4 School of Future Technology, China University of Geosciences, Wuhan, Hubei 430074, China
Published: 2026-03-26 doi: 10.13809/j.cnki.cn32-1825/te.2024614
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gas reservoir  /  exploration and development  /  artificial intelligence  /  digital twin  /  integrated platform
孙亚隆, 牛浩, 张永利, 陈宇轩, 古毅, 方军龄, 张仕帆. 大数据驱动下的智能气藏数字孪生系统关键技术及应用研究. 油气藏评价与开发, 2026 , 16 (2) : 479 -488 . DOI: 10.13809/j.cnki.cn32-1825/te.2024614
YALONG SUN, HAO NIU, YONGLI ZHANG, YUXUAN CHEN, YI GU, JUNLING FANG, SHIFAN ZHANG. Research on key technologies and applications of intelligent gas reservoir digital twin system driven by big data[J]. Petroleum Reservoir Evaluation and Development, 2026 , 16 (2) : 479 -488 . DOI: 10.13809/j.cnki.cn32-1825/te.2024614
Appendix
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Year 2026 volume 16 Issue 2
17
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Article Info
doi: 10.13809/j.cnki.cn32-1825/te.2024614
  • Receive Date：2025-07-04
  • Online Date：2026-10-30
  • Published：2026-03-26
Article Data
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History
  • Received：2025-07-04
Affiliations
    1 Gas Field Company, Shaanxi Yanchang Petroleum (Group) Co., Ltd., Yan’an, Shaanxi 716000, China
    2 Yan’an City Natural Gas Exploration and Development Engineering Technology Research Center, Yan’an, Shaanxi 716000, China
    3 Tracy Energy Technologies Company Limited, Hangzhou, Zhejiang 310000, China
    4 School of Future Technology, China University of Geosciences, Wuhan, Hubei 430074, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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