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A Connectivity-Based Modeling Approach for Representing Hysteresis in Macroscopic Two-Phase Flow Properties

机译:一种基于连通性建模方法,用于代表宏观两相流动特性滞后

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During CO2 injection and storage in deep reservoirs, the injected CO2 enters into an initially brine saturated porous medium, and after the injection stops, natural groundwater flow eventually displaces the injected mobile-phase CO2, leaving behind residual non-wetting fluid. Accurate modeling of two-phase flow processes are needed for predicting fate and transport of injected CO2, evaluating environmental risks and designing more effective storage schemes. The entrapped non-wetting fluid saturation is typically a function of the spatially varying maximum saturation at the end of injection. At the pore-scale, distribution of void sizes and connectivity of void space play a major role for the macroscopic hysteresis behavior and capillary entrapment of wetting and non-wetting fluids. This paper presents development of an approach based on the connectivity of void space for modeling hysteretic capillary pressure-saturation-relative permeability relationships. The new approach uses void-size distribution and a measure of void space connectivity to compute the hysteretic constitutive functions and to predict entrapped fluid phase saturations. Two functions, the drainage connectivity function and the wetting connectivity function, are introduced to characterize connectivity of fluids in void space during drainage and wetting processes. These functions can be estimated through pore-scale simulations in computer-generated porous media or from traditional experimental measurements of primary drainage and main wetting curves. The hysteresis model for saturation-capillary pressure is tested successfully by comparing the model-predicted residual saturation and scanning curves with actual data sets obtained from column experiments found in the literature. A numerical two-phase model simulator with the new hysteresis functions is tested against laboratory experiments conducted in a quasi-two-dimensional flow cell (91.4cmx5.6cmx61cm), packed with homogeneous and heterogeneous sands. Initial results show that the model can predict spatial and temporal distribution of injected fluid during the experiments reasonably well. However, further analyses are needed for comprehensively testing the ability of the model to predict transient two-phase flow processes and capillary entrapment in geological reservoirs during geological carbon sequestration. Published by Elsevier Ltd. This is an open access article
机译:在二氧化碳注射和储存在深层储存器中,注射的CO 2进入最初的盐水饱和多孔介质,并且在注射槽之后,天然地下水最终使注射的流动相CO2取代,留下残余的非润湿液。需要精确建模两相流程,以预测注射二氧化碳的命运和运输,评估环境风险和设计更有效的存储方案。夹带的非润湿流体饱和通常是在注射结束时的空间变化的最大饱和的函数。在孔隙尺度下,空隙尺寸的分布和空隙空间的连通性发挥了宏观滞后行为和湿润和非润湿液的毛细管夹持的主要作用。本文介绍了一种基于空隙空间连通性,用于建模滞后毛细管压力饱和 - 饱和关系关系的方法的发展。新方法使用空隙尺寸分布和空隙空间连接的量度来计算滞后组成型功能并预测捕获的流体相饱和度。引入两个功能,排水连接功能和润湿连接功能,以在排水和润湿过程中表征空隙空间中的流体的连通性。这些功能可以通过计算机产生的多孔介质中的孔隙尺度模拟或初级排水和主要润湿曲线的传统实验测量来估算。通过比较模型预测的剩余饱和度和扫描曲线与从文献中的列实验获得的实际数据集进行比较,成功地测试了饱和毛细管压力的滞后模型。具有新的滞后功能的数值两相模拟器,用于在准二维流动池(91.4cmx5.6cmx61cm)中进行的实验室实验,用均匀和异质的砂体进行。初始结果表明,该模型可以在实验期间预测注射流体的空间和时间分布。然而,需要进一步分析来综合测试模型在地质碳封存期间预测地质储层中的瞬时两相流程和毛细血管夹紧的能力。由elsevier有限公司发布这是一个开放的访问文章

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