Porous Media Processes and Mathematics (PM)^2

天然和工业多孔介质是各种传统和新兴工程应用的关键，包括但不限于地质储层的石油和天然气开采、碳捕获和储存、地热储层工程、土壤科学、地下水修复和保护、生物工程、食品加工、燃料电池、纳米技术、建筑工程、木材加工和印刷。我们建议建立一个全英国范围的研究网络，专注于多孔介质流，它将位于工程、应用数学、应用概率和科学计算之间的界面。该网络的总体目标是在工程和数学之间转移技术、模型和科学见解，并促进学术界和工业界之间的流动性。最初，科学研究的关键领域将包括：大规模计算建模、基本孔隙尺度物理学、反问题和历史匹配、水库模拟、土壤科学和浅层生态系统、理论生物学和生理学、地下水修复、温室气体和核废料的地下储存、不确定性量化、均质化和多尺度方法、可视化、数值分析和随机场建模。

Natural and industrial porous media is key to a wide variety of traditional and emerging engineering applications, including but not limited to oil and gas extraction from geological reservoirs, carbon capture and storage, geothermal reservoir engineering, soil sciences, groundwater remediation and protection, biological engineering, food processing, fuel cells, nano-technology, construction engineering, wood processing and printing. We are proposing the formation of a UK wide research network focussed on porous media flow which will sit at the interface between engineering, applied mathematics, applied probability and scientific computing. The overall aim of the network is to transfer techniques, models and scientific insights between engineering and mathematics, as well as promote mobility between academia and industry. Initially, the key areas of scientific research will include: large scale computational modelling, fundamental pore-scale physics, inverse problems and history matching, reservoir simulations, soil science and shallow ecosystems, theoretical biology and physiology, groundwater remediation, subsurface storage of greenhouse gases and nuclear waste, uncertainty quantification, homogenisation and multi-scale methods, visualization, numerical analysis and random field modelling.