Machine Learning-Driven Prediction of CO 2 Solubility in Brine: A Hybrid Grey Wolf Optimizer (GWO)-Assisted Gaussian Process Regression (GPR) Approach
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- Xuejia Du & Ganesh C. Thakur, 2025. "Development of Advanced Machine Learning Models for Predicting CO 2 Solubility in Brine," Energies, MDPI, vol. 18(5), pages 1-19, February.
- Ratnakar, Ram R. & Chaubey, Vivek & Dindoruk, Birol, 2023. "A novel computational strategy to estimate CO2 solubility in brine solutions for CCUS applications," Applied Energy, Elsevier, vol. 342(C).
- Ismail Ismail & Vassilis Gaganis, 2023. "Carbon Capture, Utilization, and Storage in Saline Aquifers: Subsurface Policies, Development Plans, Well Control Strategies and Optimization Approaches—A Review," Clean Technol., MDPI, vol. 5(2), pages 1-29, May.
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