Recent Advances in Reservoir Simulation and Carbon Utilization and Storage

<p><span style=color: rgba(23 43 77 1)>This volume compiles advanced research on unconventional reservoir engineering addressing hydraulic fracturing CO</span><sub style=color: rgba(23 43 77 1)>2</sub><span style=color: rgba(23 43 77 1)> utilization and data-driven modeling. Integrating experiments simulations and machine learning (ML) it offers solutions to optimize hydrocarbon recovery and sustainability. Key themes include the following: (1) fracture mechanics exploring fracture propagation in inter-salt shales viscoplastic fracture behavior and ML-guided fracture spacing; (2) CO</span><sub style=color: rgba(23 43 77 1)>2</sub><span style=color: rgba(23 43 77 1)> applications examining its dual role in EOR and storage via injection strategies ML-predicted flooding outcomes and CO</span><sub style=color: rgba(23 43 77 1)>2</sub><span style=color: rgba(23 43 77 1)>-water-rock interactions affecting reservoir integrity; (3) modeling innovations such as VOF-based pore-scale multiphase flow simulations ML-driven fracture optimization and productivity forecasting in condensate-rich shales; and (4) practical advances including nanoparticle-surfactant EOR systems high-permeability streak detection in carbonates coal creep analysis and gas storage well-testing protocols. Bridging nanoscale fluid dynamics to field-scale CO</span><sub style=color: rgba(23 43 77 1)>2</sub><span style=color: rgba(23 43 77 1)> management this book equips researchers and engineers with tools to enhance recovery efficiency mitigate environmental impacts and leverage emerging technologies for the sustainable development of unconventional resources in a low-carbon era.</span></p>