疏松砂岩油藏微粒运移研究进展及展望

Research Progresses and Prospectives on Fines 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。近年来在微粒运移研究方法方面,主要发展了实验物理模拟和数值模拟方法。实验物理模拟直接、现实,既可微观,也可以宏观;数值模拟方法成本低、参数控制灵活,能够定量地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,并由此确定了流体的速度、黏度、盐度、温度以及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: Aiming at the prevalent problem of fine migration during the development of unconsolidated sandstone reservoirs, this paper systematically elaborates on its research progress and development directions. In terms of research methods for fine migration, experimental physical simulation and numerical simulation methods have been mainly developed. Experimental physical simulation is direct and realistic, enabling both microscale and macroscale studies; the numerical simulation method features low cost and flexible parameter control, which can quantitatively analyze and predict different mechanisms and dynamic changes during the fine migration process. Regarding the mechanism of fine migration, the classic DLVO theory (Derjaguin-Landau-Verwey-Overbeek theory) and hydrodynamic explanations have been established, which can qualitatively or semi-quantitatively describe the detachment and migration of fines. Based on this, fluid velocity, viscosity, salinity, temperature, and pH value have been identified as the key factors inducing fine detachment and migration. Drawing on the above mechanistic understanding, a comprehensive control strategy has been proposed, including optimizing the compatibility of injected fluids, controlling production pressure difference, and integrating chemical inhibition methods. Currently, the research field of fine 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. 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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