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Simulation of Multiphase Flow in Subsurface Porous Media for Low-Carbon Energy Systems
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Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!
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| Simulation of Multiphase Flow in Subsurface Porous Media for Low¿Carbon Energy Systems addresses the urgent need for pore¿scale rigor in energy¿transition workflows. As CO¿ and H¿ injection, groundwater management, contaminant remediation, and geothermal operations expand, decision¿quality predictions hinge on resolving interfacial physics, wettability, capillarity, and transport in complex rock microstructures. This reference equips researchers and practicing engineers to interpret, calibrate, and upscale pore¿scale phenomena into reliable macroscopic parameters that constrain reservoir simulation and risk assessment for low¿carbon deployments. Contents integrate foundational theory with a method¿centered architecture. Digital rock reconstruction introduces multiscale, hybrid, and deep¿learning approaches for realistic pore geometries. Multiphase flow theory consolidates interfacial tension, wettability, capillary pressure, nanoscale transport, and extended governing equations. Dedicated chapters cover six leading techniques: molecular dynamics for kerogen nanopores and H¿/water transport; lattice Boltzmann color¿gradient and Shan-Chen models for methane-water and CO¿-water dynamics; pore¿network modeling with thin¿film physics across Berea and tight sandstones; and CFD¿based volume¿of¿fluid, level¿set, and phase¿field formulations with explicit numerical schemes and boundary conditions. Each chapter shares a consistent scaffold-principles, algorithms, and reproducible case studies-supported by color figures, equations, and data to enable independent use. Simulation of Multiphase Flow in Subsurface Porous Media for Low¿Carbon Energy Systems empowers end users to select appropriate methods, avoid modeling pitfalls, and generate actionable outputs such as relative permeability, entry pressures, and displacement efficiencies. Readers gain transferable workflows, benchmarking insight, and transparent assumptions to de¿risk pore¿ to core¿scale upscaling for CO¿/H¿ storage, waterflood optimization, and reactive environmental processes. Ancillary materials include MD code and simulation videos, enhancing comprehension and accelerating adoption in research and practice. |
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