Heat transfer and fluid flow in geomaterials: Physics-inspired AI framework

岩土材料中的传热和流体流动：物理启发的人工智能框架

• 批准号: DP210100433
• 负责人: Prof Guillermo Narsilio
• 金额: $ 27.47万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2021
• 资助国家: 澳大利亚
• 起止时间: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP210100433
• 关键词: Heat; transfer; fluid; flow; geomaterials

Processes involving fluid flow or heat transfer are of critical importance in engineering applications (e.g., in dams, geothermal systems, oil & gas production). Though largely overlooked, microstructural features control these processes in geomaterials. This project aims to exploit advances in high-resolution 4D imaging to extract essential microstructural information to: 1) identify new parameters that better capture pore and particle properties, connectivities and pathways, and 2) develop advanced predictive analytics tools. This will improve fundamental understanding of the link between microstructure and fluid and heat flows at the engineering scale, and provide predictive tools to reduce risk and costs to industry.

涉及流体流动或传热的过程在工程应用（例如大坝、地热系统、石油和天然气生产）中至关重要。尽管在很大程度上被忽视，但微观结构特征控制着岩土材料中的这些过程。 该项目旨在利用高分辨率 4D 成像的进步来提取重要的微观结构信息，以：1) 确定新参数，以更好地捕获孔隙和颗粒特性、连接性和路径，2) 开发先进的预测分析工具。 这将提高对工程规模的微观结构与流体和热流之间联系的基本理解，并提供预测工具来降低行业风险和成本。