首页|当前渗流力学理论遇到的挑战与对策思考

当前渗流力学理论遇到的挑战与对策思考

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  • 国家科技期刊平台
  • NETL
  • NSTL
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本文详细阐述了渗流力学经典理论——达西定律的发展历程及其适用条件,并从Navier-Stokes(N-S)方程推导出了达西定律在多孔介质中的毛细管渗流和裂缝渗流中的数学表达式.文章指出了当前达西定律应用中存在的 8 大问题,并综合分析了渗流力学理论在油气田开发中的主要挑战.针对这些挑战,本文提出了一系列对策和思考.文章强调指出:构建多尺度、多物理场耦合模型并借助AI科学计算是揭示油气储层复杂真实流动机制,填补目前理论空白的必由之路.建议指出:进一步发展核磁共振、电镜扫描及智能数据与图像处理等高精度实验技术,以直观展现流体在储层中的流动行为和过程.最后,建议综合运用实验研究、新理论模型建立和AI科学研究方法(AI for Science),突破油气渗流力学理论中目前遇到的挑战.研究成果可为我国高校、科研机构和研究者开展石油科学理论研究和课题立项提供重要参考,同时可为我国油气资源可持续进行科学和技术战略规划提供强有力的技术支撑.
Challenges and countermeasures in current mechanics theory of fluid flow in multiparous media
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.

seepage mechanicsdarcy flownon-darcy flowtertiary oil recoveryCO2 floodingrelative permeability curvemulti-scale modelingmulti-physical field modelingAI for scientific

窦宏恩、李彦辉、张蕾、王洪亮

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中国石油勘探开发研究院,北京 100083

中国石油天然气集团有限公司勘探开发人工智能技术研发中心,北京 100083

北京根远泰石油技术有限公司,北京 100083

北京大学工学院,北京 100871

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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

国家重点研发计划中国石油集团公司前瞻性基础性技术攻关项目

2022YFF08012042023DJ84

2024

10.3969/j.issn.2096-1693.2024.03.033

石油科学通报
中国石油大学（北京）,清华大学出版社有限公司

石油科学通报

CSTPCD
ISSN：2096-1693
年,卷(期)：2024.9(3)