Challenges and countermeasures in current mechanics theory of fluid flow in multiparous media
DOU Hongen, LI Yanhui, ZHANG Lei, WANG Hongliang
1 Research Institute of Petroleum Exploration and Development, PetroChina , Beijing 100083, China 2 Artificial Intelligence Technology R&D Center for Exploration and Development, CNPC, Beijing 100083, China 3 Beijing Genyuantai Petroleum Technology Co., Ltd., Beijing 100083, China 4 College of Engineering, Peking University, Beijing 100871, China
摘要?
本文詳細闡述了滲流力學(xué)經(jīng)典理論——達西定律的發(fā)展歷程及其適用條件,，并從Navier-Stokes(N-S)方程推導(dǎo)出了達西定律在多孔介質(zhì)中的毛細管滲流和裂縫滲流中的數(shù)學(xué)表達式。文章指出了當(dāng)前達西定律應(yīng)用中存在的8 大問題，并綜合分析了滲流力學(xué)理論在油氣田開發(fā)中的主要挑戰(zhàn)。針對這些挑戰(zhàn),，本文提出了一系列對策和思考。文章強調(diào)指出：構(gòu)建多尺度,、多物理場耦合模型并借助AI科學(xué)計算是揭示油氣儲層復(fù)雜真實流動機制,，填補目前理論空白的必由之路。建議指出：進一步發(fā)展核磁共振,、電鏡掃描及智能數(shù)據(jù)與圖像處理等高精度實驗技術(shù),，以直觀展現(xiàn)流體在儲層中的流動行為和過程。最后,，建議綜合運用實驗研究,、新理論模型建立和AI科學(xué)研究方法(AI for Science)，突破油氣滲流力學(xué)理論中目前遇到的挑戰(zhàn),。研究成果可為我國高校,、科研機構(gòu)和研究者開展石油科學(xué)理論研究和課題立項提供重要參考,，同時可為我國油氣資源可持續(xù)進行科學(xué)和技術(shù)戰(zhàn)略規(guī)劃提供強有力的技術(shù)支撐,。
This paper presented the development process and applicable conditions of the classical seepage mechanics theory- 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 multiscale, 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.
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
竇宏恩, 李彥輝, 張蕾, 王洪亮. 當(dāng)前滲流力學(xué)理論遇到的挑戰(zhàn)與對策思考. 石油科學(xué)通報, 2024, 03: 449-464 DOU Hongen, LI Yanhui, ZHANG Lei, WANG Hongliang. Challenges and countermeasures in current mechanics theory of fluid flow in multiparous media. Petroleum Science Bulletin, 2024, 03: 449-464.
