石油科学通报2024，Vol.9Issue(3)：449-464,16.DOI:10.3969/j.issn.2096-1693.2024.03.033
当前渗流力学理论遇到的挑战与对策思考
Challenges and countermeasures in current mechanics theory of fluid flow in multiparous media
摘要
Abstract
This paper presented the development process and applicable conditions of the classical seepage mechanics theo-ry-Darcy's law,and derived the mathematical expressions of Darcy's law in capillary seepage and fracture seepage in porous media from the Navier-Stokes(N-S)equations.The paper pointed out eight major problems in the current application of Darcy's law and comprehensively analyzed the main challenges of seepage mechanics theory in oil and gas field development.In response to these challenges,this paper proposed a series of countermeasures and considerations.The paper emphasized that constructing multi-scale,multi-physics field coupling models and leveraging AI scientific computing is the only way to reveal the complex and real flow mechanisms of oil and gas reservoirs and fill the current theoretical gaps.It was suggested to further develop high-precision experimental techniques such as nuclear magnetic resonance,electron microscopy scanning,and intelligent data and image processing to visually demonstrate the behavior and processes of fluids in reservoirs.Finally,it was suggested to use experimental research,the establishment of new theoretical models and AI for Science to innovate and break through the current challenges in the theory of oil and gas seepage mechanics.It provided an important reference for universities,research institutions and researchers to carry out theoretical research and project establishment of petroleum science,and it can also provided strong technical support for the scientific and technological development strategic planning of oil and gas resources in China.关键词
渗流力学/达西渗流/非达西渗流/三次采油/CO2驱油/相对渗透率曲线/多尺度建模/多物理场建模/AI科学研究Key words
seepage mechanics/darcy flow/non-darcy flow/tertiary oil recovery/CO2 flooding/relative permeability curve/multi-scale modeling/multi-physical field modeling/AI for scientific分类
能源科技引用本文复制引用
窦宏恩,李彦辉,张蕾,王洪亮..当前渗流力学理论遇到的挑战与对策思考[J].石油科学通报,2024,9(3):449-464,16.基金项目
国家重点研发计划"战略性资源开发区风险评估应用示范"(2022YFF0801204)和中国石油集团公司前瞻性基础性技术攻关项目"油气勘探开发人工智能关键技术研究"(2023DJ84)联合资助 （2022YFF0801204）
