Geochemistry in Geological CO 2 Sequestration: A Comprehensive Review
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- Li, Sihai & Zhang, Shicheng & Xing, Huilin & Zou, Yushi, 2022. "CO2–brine–rock interactions altering the mineralogical, physical, and mechanical properties of carbonate-rich shale oil reservoirs," Energy, Elsevier, vol. 256(C).
- Cheng Cao & Hejuan Liu & Zhengmeng Hou & Faisal Mehmood & Jianxing Liao & Wentao Feng, 2020. "A Review of CO 2 Storage in View of Safety and Cost-Effectiveness," Energies, MDPI, vol. 13(3), pages 1-45, January.
- Chen, Bailian & Harp, Dylan R. & Lin, Youzuo & Keating, Elizabeth H. & Pawar, Rajesh J., 2018. "Geologic CO2 sequestration monitoring design: A machine learning and uncertainty quantification based approach," Applied Energy, Elsevier, vol. 225(C), pages 332-345.
- Enbin Liu & Xudong Lu & Daocheng Wang, 2023. "A Systematic Review of Carbon Capture, Utilization and Storage: Status, Progress and Challenges," Energies, MDPI, vol. 16(6), pages 1-48, March.
- Aminu, Mohammed D. & Nabavi, Seyed Ali & Rochelle, Christopher A. & Manovic, Vasilije, 2017. "A review of developments in carbon dioxide storage," Applied Energy, Elsevier, vol. 208(C), pages 1389-1419.
- Liu, Quanyou & Zhu, Dongya & Jin, Zhijun & Tian, Hailong & Zhou, Bing & Jiang, Peixue & Meng, Qingqiang & Wu, Xiaoqi & Xu, Huiyuan & Hu, Ting & Zhu, Huixing, 2023. "Carbon capture and storage for long-term and safe sealing with constrained natural CO2 analogs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 171(C).
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Keywords
geochemistry; geological carbon sequestration; CO 2 –brine–rock interactions; CO 2 trapping;All these keywords.
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