CO2-Enhanced oil recovery in unconventional reservoirs: Motivation, mechanisms, factors, challenges and methods
Keywords:
Carbon Dioxide injection, enhanced oil recovery, CCUS, mechanism analysisAbstract
CO2-Enhanced oil recovery and carbon storage in ultra-tight shale reservoirs are governed by multiscale interactions spanning molecular thermodynamics to reservoir engineering. Key mechanisms include CO2-induced oil swelling and pressure mobilization, diffusion-dominated hydrocarbon transport, viscosity reduction via hydrocarbon plasticization, and competitive adsorption displacing methane from organic surfaces. These processes synergize temporally: Swelling and diffusion dominate early-stage recovery, while viscosity reduction and miscibility prevail later, enhanced by cyclic injection strategies to overcome fracture-limited flow geometries. Supercritical CO2 optimizes extraction efficiency and pore penetration but elevates operational risks through potential fracture leakage. Challenges persist in reconciling nanoconfinement-altered phase behavior, wettability shifts from carboxylate formation, and adsorption hysteresis impacting long-term storage stability. Emerging machine learning frameworks integrate dimensionless parameters to optimize injection protocols, yet geochemical-geomechanical feedbacks demand dynamic coupling of reactive transport models with fracture stability analyses. Advancing CO2-EOR-storage co-optimization requires multiscale model integration, combining in-situ spectroscopic characterization of interfacial phenomena with sensor-driven monitoring of plume dynamics. By resolving molecular-to-reservoir asymmetries, shale’s inherent complexity can be leveraged for sustainable energy transitions, balancing hydrocarbon recovery with secure carbon sequestration through science-informed engineering innovations.
Document Type: Perspective
Cited as: Zhang, D., Zhang, T., He, S., Zhu. C., Gong, L. CO2-Enhanced oil recovery in unconventional reservoirs: Motivation, mechanisms, factors, challenges and methods. Computational Energy Science, 2025, 2(1): 1-6. https://doi.org/10.46690/compes.2025.01.01
References
Chen, Z., Zhou, Y., Li, H. A review of phase behavior mechanisms of CO2 EOR and storage in subsurface formations. Industrial & Engineering Chemistry Research, 2022, 61(29): 10298-10318.
Davoodi, S., Al-Shargabi, M., Wood, D. A., et al. Carbon dioxide sequestration through enhanced oil recovery: A review of storage mechanisms and technological applications. Fuel, 2024, 366: 131313.
Grubert, E. The Eagle Ford and Bakken shale regions of the United States: A comparative case study. The Extractive Industries and Society, 2018, 5(4): 570-580.
Wang, Y., Cao, R., Jia, Z., et al. A multi-mechanism numerical simulation model for CO2-EOR and storage in fractured shale oil reservoirs. Petroleum Science, 2024, 21(3): 1814-1828.
Asadi, A., Baise, L. G., Chatterjee, S., et al. Regional landslide mapping model developed by a deep transfer learning framework using post-event optical imagery. Zhao, J., Ren, L., Lin, C., et al. A review of deep and ultra-deep shale gas fracturing in China: Status and directions. Renewable and Sustainable Energy Reviews, 2025, 209: 115111.
Zhang, T., Sun, S. An exploratory multi-scale framework to reservoir digital twin. Advances in Geo-Energy Research, 2021, 5(3): 239-251.
Zhuang, X., Wang, W., Su, Y., et al. Deep learning-assisted optimization for enhanced oil recovery and CO2 sequestration considering gas channeling constraints. Petroleum Science. 2025.