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Simulation of Enhanced Recovery using CO2 in a Liquid-Rich Western Canadian Unconventional Reservoir: Accounting for Reservoir Fluid Adsorption and Compositional Heterogeneity

机译:使用CO2在富含液体的西加拿大非传统水库中使用CO2的仿真:储层液吸附和组成异质性的核算

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Liquid-rich unconventional reservoirs are currently popular targets for development by the industry. However, hydrocarbon liquid recovery in unconventional reservoirs can be very low, primarily due to low permeability, but also partly due to adsorption of heavier hydrocarbon components. Previous studies have demonstrated that the heaviest components (butane+) are the most strongly adsorbed while being the most valuable commodity. Therefore, the development of methods to enhance recovery of these strongly-adsorbed components is very appealing to operators. The purpose of this study is therefore to investigate the possibility of incremental recovery of oil in a low-permeability reservoir by injecting a non-hydrocarbon gas (CO2) into the reservoir using a huff-n-puff procedure. A feasibility study of CO2-enhanced production in a liquid-rich (volatile oil) low-permeability (tight) reservoir in Western Canada is conducted using rigorous compositional simulation combined with multi-component adsorption modelling. The simulation model used for a sensitivity analysis was previously calibrated using flowback data obtained from a multi-fractured horizontal well (Clarkson et al., 2016a). A unique aspect of that study was that multi-layer PVT and fluid properties in the reservoir were estimated using a novel procedure; however, adsorption of the reservoir fluids was ignored. In the current study, an innovative approach developed by Clarkson and Haghshenas (2016) was applied for estimating high pressure/temperature (in-situ) adsorption of reservoir fluid components and CO2 using a combination of low pressure adsorption data and the simplified local density model. This approach was required because, typically, the only reservoir samples available along horizontal wells are cuttings, which are not available in sufficient quantities for direct high pressure adsorption measurements. A general equation was also developed for defining the diffusivity coefficient in nanopores which can be directly applied in a commercial numerical simulator. Sensitivity studies were then performed for different huff-n-puff operating conditions, and for the range in different reservoir fluids obtained by Clarkson et al. (2016a).
机译:富含液体的非传统水库目前是该行业发展的热门目标。然而,在非常规储层中的烃液回收可以非常低,主要是由于低渗透性,而且部分原因是由于较重的烃组分的吸附。以前的研究表明,最重的成分(丁烷+)是最强烈的吸附,而是最有价值的商品。因此,提高这些强吸附组件恢复的方法的发展非常有吸引力。因此,本研究的目的是通过使用Huff-N-Puff方法将非烃类气体(CO2)注入储层中来研究低渗透贮存器中的油增量回收的可能性。使用严格的成分模拟与多组分吸附建模相结合进行了COM-CANTA富含液体(挥发油)低渗透率(紧密)水库的CO2增强的生产的可行性研究。用于灵敏度分析的模拟模型先前使用从多裂缝水平阱获得的流量数据(Clarkson等,2016a)。该研究的一个独特方面是使用新方法估计储层中的多层PVT和流体性质;然而,忽略了储层液体的吸附。在目前的研究中,克拉克森和Haghshenas(2016)开发的创新方法应用于使用低压吸附数据的组合和简化的局部密度模型估算储层流体组分和CO2的高压/温度(原位)吸附。这种方法是必需的,因为通常,沿水平孔可获得的唯一储存器样品是切割,其不足以足够的量以直接高压吸附测量。还开发了一种通用方程,用于定义纳米孔中的扩散系数,其可以直接应用于商业数值模拟器。然后对不同的Huff-N-Puff操作条件进行敏感性研究,以及Clarkson等人获得的不同储层液中的范围。 (2016A)。

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