Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage
Methodological Theory|更新时间:2026-01-09
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Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage
“In the field of carbon capture, utilization, and storage, machine learning technology has shown significant advantages in optimizing operating parameters, improving computational efficiency, and providing solutions for achieving carbon neutrality.”
Petroleum Reservoir Evaluation and DevelopmentVol. 16, Issue 1, Pages: 84-95(2026)
YE Hongying, CAO Cheng, ZHAO Yulong, et al. Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(1): 84-95.
YE Hongying, CAO Cheng, ZHAO Yulong, et al. Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage[J]. Petroleum Reservoir Evaluation and Development, 2026, 16(1): 84-95. DOI: 10.13809/j.cnki.cn32-1825/te.2025268.
Research progress on machine learning in CO2 enhanced oil and gas recovery and geological storage