疏松砂岩油藏微粒运移研究进展及展望

Research Progress and Prospects in Fine Particle Migration in Unconsolidated Sandstone Reservoirs

  • 摘要: 针对疏松砂岩油藏开发过程中普遍存在的微粒运移问题,系统阐述了其研究进展与发展方向。近年来,微粒运移研究方法主要包括实验物理模拟方法和数值模拟方法。实验物理模拟方法直接、直观,既可微观,也可以宏观;数值模拟方法成本低、参数控制灵活,可定量分析和预测微粒运移过程中的不同机理和动态变化。关于微粒运移机理,已经形成了经典的DLVO理论和水动力学解释,可以定性或半定量描述微粒的脱附和运移,并确定流体的速度、黏度、盐度、温度及pH值是导致微粒脱落与运移的关键因素。基于上述机理认识,提出了优化注入流体配伍性、控制生产压差并结合化学抑制方法的控制策略。目前,微粒运移研究领域已从传统水驱油藏拓展至致密储层、页岩油储层,以及聚合物驱、稠油热采、天然气水合物开采及储气库建库等复杂场景。未来,需在多物理场耦合模型的刻画、数字智能化与多学科交叉应用融合等方面,深化高精度表征技术与数值模拟的研究,为复杂储层开发提供精准预测与优化决策支持。

     

    Abstract: In light of the prevalent issue of fine particle migration during the development of unconsolidated sandstone reservoirs, the research progress and development directions were systematically elaborated. Regarding research methods for fine particle migration, experimental physical simulation and numerical simulation methods were mainly developed. Experimental physical simulation is direct and realistic, facilitating studies at both micro and macro scales. Numerical simulation offers low cost and flexible parameter control, enabling quantitative analysis and prediction of various mechanisms and dynamic changes during fine particle migration. Concerning the mechanism of fine particle migration, the classic Derjaguin-Landau-Verwey-Overbeek (DLVO) theory and hydrodynamic explanations were established, allowing for qualitatively or semi-quantitatively describe the detachment and migration of fine particles. On this basis, fluid velocity, viscosity, salinity, temperature, and pH value were identified as the key factors inducing fine particle detachment and migration. Drawing on the above mechanistic understanding, a control strategy was proposed, including optimizing the compatibility of injected fluids, controlling production pressure difference, and integrating chemical inhibition methods. Currently, the research field of fine particle migration has expanded from traditional waterflooding reservoirs to complex scenarios such as tight reservoirs, shale oil reservoirs, as well as polymer flooding, heavy oil thermal recovery, natural gas hydrate exploitation, and gas storage reservoir construction, etc. In the future, it is necessary to further deepen the research on high-precision characterization technologies and numerical simulation in aspects such as the establishment of multi-physics field coupling models and the integration of digital intelligence with interdisciplinary applications, so as to provide accurate prediction and optimized decision support for the development of complex reservoirs.

     

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