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Prediction of storage efficiency on CO2 sequestration in deep saline aquifers using artificial neural network

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Cited by:

  1. Xie, Candie & Liu, Jingyong & Zhang, Xiaochun & Xie, Wuming & Sun, Jian & Chang, Kenlin & Kuo, Jiahong & Xie, Wenhao & Liu, Chao & Sun, Shuiyu & Buyukada, Musa & Evrendilek, Fatih, 2018. "Co-combustion thermal conversion characteristics of textile dyeing sludge and pomelo peel using TGA and artificial neural networks," Applied Energy, Elsevier, vol. 212(C), pages 786-795.
  2. Nekrasov, S., 2023. "Environmental management from the point of energy transition: The example of the Rybinsk reservoir," Journal of the New Economic Association, New Economic Association, vol. 61(4), pages 110-126.
  3. Anderson, Austin & Rezaie, Behnaz, 2019. "Geothermal technology: Trends and potential role in a sustainable future," Applied Energy, Elsevier, vol. 248(C), pages 18-34.
  4. Kim, Min & Kwon, Seoyoon & Ji, Minsoo & Shin, Hyundon & Min, Baehyun, 2023. "Multi-lateral horizontal well with dual-tubing system to improve CO2 storage security and reduce CCS cost," Applied Energy, Elsevier, vol. 330(PB).
  5. Yurii Vasilev & Alexey Cherepovitsyn & Anna Tsvetkova & Nadejda Komendantova, 2021. "Promoting Public Awareness of Carbon Capture and Storage Technologies in the Russian Federation: A System of Educational Activities," Energies, MDPI, vol. 14(5), pages 1-14, March.
  6. Gregory Tarteh Mwenketishi & Hadj Benkreira & Nejat Rahmanian, 2023. "A Comprehensive Review on Carbon Dioxide Sequestration Methods," Energies, MDPI, vol. 16(24), pages 1-42, December.
  7. You, Junyu & Ampomah, William & Sun, Qian, 2020. "Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework," Applied Energy, Elsevier, vol. 279(C).
  8. Vo Thanh, Hung & Yasin, Qamar & Al-Mudhafar, Watheq J. & Lee, Kang-Kun, 2022. "Knowledge-based machine learning techniques for accurate prediction of CO2 storage performance in underground saline aquifers," Applied Energy, Elsevier, vol. 314(C).
  9. Gu, Yuhang & Liu, Xuejian & Li, Yan & Lu, Hongfeng & Xu, Chenlu & Ren, Jinfeng & Chen, Guangjin & Linga, Praveen & Zhao, Jianzhong & Yin, Zhenyuan, 2025. "Feasibility analysis of liquid CO2 injection and sequestration as hydrates in South China Sea marine sediments over 100 years," Applied Energy, Elsevier, vol. 380(C).
  10. Zhao, Zhi & Lu, Hai-Feng, 2023. "Deep learning interprets failure process of coal reservoir during CO2-desorption by 3D reconstruction techniques," Energy, Elsevier, vol. 282(C).
  11. Sun, Huiru & Chen, Jing & Ji, Xiang & Karunakaran, Gajanan & Chen, Bingbing & Ranjith, Pathegama Gamage & Song, Yongchen & Yang, Mingjun, 2024. "Optimizing CO2 hydrate storage: Dynamics and stability of hydrate caps in submarine sediments," Applied Energy, Elsevier, vol. 376(PB).
  12. Morgan, Joshua C. & Chinen, Anderson Soares & Anderson-Cook, Christine & Tong, Charles & Carroll, John & Saha, Chiranjib & Omell, Benjamin & Bhattacharyya, Debangsu & Matuszewski, Michael & Bhat, K. S, 2020. "Development of a framework for sequential Bayesian design of experiments: Application to a pilot-scale solvent-based CO2 capture process," Applied Energy, Elsevier, vol. 262(C).
  13. Kamal Jawher Khudaida & Diganta Bhusan Das, 2020. "A Numerical Analysis of the Effects of Supercritical CO 2 Injection on CO 2 Storage Capacities of Geological Formations," Clean Technol., MDPI, vol. 2(3), pages 1-32, September.
  14. Wang, Sijia & Jiang, Lanlan & Cheng, Zucheng & Liu, Yu & Zhao, Jiafei & Song, Yongchen, 2021. "Experimental study on the CO2-decane displacement front behavior in high permeability sand evaluated by magnetic resonance imaging," Energy, Elsevier, vol. 217(C).
  15. Muhammad Hammad Rasool & Maqsood Ahmad & Muhammad Ayoub, 2023. "Selecting Geological Formations for CO 2 Storage: A Comparative Rating System," Sustainability, MDPI, vol. 15(8), pages 1-39, April.
  16. 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.
  17. Seungmo Ko & Sung-Min Kim & Hochang Jang, 2023. "A Simulation Study on Evaluating the Influence of Impurities on Hydrogen Production in Geological Carbon Dioxide Storage," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
  18. Abdulwahab Alqahtani & Xupeng He & Bicheng Yan & Hussein Hoteit, 2023. "Uncertainty Analysis of CO 2 Storage in Deep Saline Aquifers Using Machine Learning and Bayesian Optimization," Energies, MDPI, vol. 16(4), pages 1-16, February.
  19. Liu, Jianqiao & Liu, Jia & Zhu, Yiheng & Sun, Wenyue & Zhang, Daowei & Pan, Huanquan, 2025. "Multi-objective optimization for efficient CO2 storage under pressure buildup constraint in saline aquifer," Applied Energy, Elsevier, vol. 382(C).
  20. Vo Thanh, Hung & Lee, Kang-Kun, 2022. "Application of machine learning to predict CO2 trapping performance in deep saline aquifers," Energy, Elsevier, vol. 239(PE).
  21. Li, Wei & Lu, Can & Ding, Yi & Zhang, Yan-Wu, 2017. "The impacts of policy mix for resolving overcapacity in heavy chemical industry and operating national carbon emission trading market in China," Applied Energy, Elsevier, vol. 204(C), pages 509-524.
  22. Dai, Zhenxue & Zhang, Ye & Bielicki, Jeffrey & Amooie, Mohammad Amin & Zhang, Mingkan & Yang, Changbing & Zou, Youqin & Ampomah, William & Xiao, Ting & Jia, Wei & Middleton, Richard & Zhang, Wen & Sun, 2018. "Heterogeneity-assisted carbon dioxide storage in marine sediments," Applied Energy, Elsevier, vol. 225(C), pages 876-883.
  23. Aaditya Khanal & Md Fahim Shahriar, 2022. "Physics-Based Proxy Modeling of CO 2 Sequestration in Deep Saline Aquifers," Energies, MDPI, vol. 15(12), pages 1-23, June.
  24. Ampomah, W. & Balch, R.S. & Cather, M. & Will, R. & Gunda, D. & Dai, Z. & Soltanian, M.R., 2017. "Optimum design of CO2 storage and oil recovery under geological uncertainty," Applied Energy, Elsevier, vol. 195(C), pages 80-92.
  25. Turgay Ertekin & Qian Sun, 2019. "Artificial Intelligence Applications in Reservoir Engineering: A Status Check," Energies, MDPI, vol. 12(15), pages 1-22, July.
  26. Li, Didi & Zhang, Hongcheng & Li, Yang & Xu, Wenbin & Jiang, Xi, 2018. "Effects of N2 and H2S binary impurities on CO2 geological storage in stratified formation – A sensitivity study," Applied Energy, Elsevier, vol. 229(C), pages 482-492.
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