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Hydrologic and elastic properties of CO2 injected rock at various reservoir conditions: Insights into quantitative monitoring of injected CO2

机译:各种储层条件下二氧化碳注入岩石的水文和弹性性能:注入二氧化碳的定量监测见识

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We calculated CO2 displacements in 3D natural sandstone (digital rock model) under various reservoir conditions using two-phase lattice Boltzmann (LB) simulations, and characterized the influence of reservoir conditions upon CO2-water flow. The results of LB simulations under >50 conditions were used to classify the resulting two-phase flow behaviors into typical fluid displacement patterns on the diagram of capillary number (Ca) and viscosity ratio of the CO2 and water (M). In addition, the saturation of CO2 (nonwetting phase) was calculated and mapped on the Ca-M diagram. These results demonstrated that CO2 saturation is controlled by Ca and M, and the optimum CO2 saturation scales with Ca and M. When we applied similar analysis to the different type of rock, we found that CO2 saturation and behaviors are significantly different. These important differences could be due to the heterogeneity of pore geometry in the natural rock and differences in pore connectivity. By quantifying CO2 behavior in the target reservoir rock under various conditions (i.e., saturation mapping on the Ca-M diagram), our approach provides useful information for investigating suitable reservoir conditions for effective CO2 storage (e.g., high CO2 saturation). We further calculated seismic velocity of the digital rocks with injected CO2 under various reservoir conditions (e.g., Ca andM) using dynamic wave propagation simulation. By using the relation between seismic velocity and CO2 saturation parameterized by reservoir conditions, we could quantify in situ CO2 saturation in reservoir from monitoring data (seismic velocity).
机译:我们在使用两相晶格Boltzmann(LB)模拟的各种储层条件下计算了3D天然砂岩(数字岩模型)中的CO2位移,并表征了储层条件对CO2水流的影响。在> 50条条件下的LB模拟的结果用于将所得的两相流动性分类为典型的流体位移图案,毛细管数(CA)和CO 2和水(M)的粘度比。此外,计算CO 2(非纯化阶段)的饱和度并映射在Ca-M图上。这些结果表明,CO2饱和由CA和M控制,并且使用CA和M的最佳二氧化碳饱和度刻度。当我们向不同类型的岩石应用类似的分析时,我们发现CO2饱和度和行为显着不同。这些重要的差异可能是由于天然岩石中的孔几何形状的异质性和孔隙连接的差异。通过在各种条件下量化目标储层岩石中的CO2行为(即CA-M图上的饱和映射),我们的方法提供了用于研究有效CO2储存的合适储层条件的有用信息(例如,高CO2饱和度)。我们进一步使用动态波传播仿真在各种储层条件(例如,CA和M)下用注射二氧化碳来进一步计算数字岩石的地震速度。通过使用储层条件参数化的地震速度和CO2饱和的关系,我们可以通过监测数据(地震速度)来定量储层中的原位二氧化碳饱和度。

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