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A Comprehensive Study on Simulation of CO2 Injection in Southwest Iran

机译:西南伊朗二氧化碳注射型综合研究

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There is a consensus among specialists that Carbon dioxide (CO2) flooding is an effective method of enhanced oil recovery. CO2 injection causes oil swelling, reduction in the oil viscosity, oil vaporization and improving oil displacement by miscibility. Iranian oil reservoirs are expected to undergo serious pressure decline in upcoming years. Abundance of CO2, its availability and environmental issues regarding this gas, makes it a promising injection gas to overcome such challenges. Because of technological complexity and financial requirements to initiate a gas flooding project, a comprehensive evaluation is necessary before any other thing. The present work is concerned with investigation of CO2 injection process in a sector of a Southwest Iranian oil reservoir, giving a special attention to phase behavior and amount of recoverable oil. Thus we use real rock and fluid properties for simulation. The main focus is on equation of state (EOS), modeling of experimental PVT data, determining MMP (minimum miscibility pressure) for different gas compositions using a slim tube model. Other aspects such as the effect of different completion patterns, CO2 injection rate, and injection pressure on oil recovery are covered. Recovery values obtained from different flooding scenarios are also compared. Finally, we inspect recovery performance in different gas flooding scenarios and natural depletion. First, we made the fluid model by the PVTi software and then tuned three-parameter Peng-Robinson equation of state by regression analysis. Subsequently,we matched calculated data with observed data (which were obtained from PVT experiments in the lab). Next, for a better understanding of reservoir fluid, we simulated swelling and slim tube experiments. The slim tube dynamic model was generated by Eclips300 software. Afterwards by making use of Eclipse300 we introduced different scenarios to identify the most optimal number of injection and production wells, rate of CO2 injection, injection pressure for CO2, and the best time to open injection wells. From the simulation results obtained from injection of CO2, CH4, N2, and mixtures of CH4-CO2, CO2-C3 and N2-CO2 on the cumulative oil production, it was observed that CO2 is the best fluid for injection purposes. The simulation results indicate that CO2 injection to the studied sector of the reservoir causes a 12.9% increase in recovery factor in comparison with the natural depletion of this sector.
机译:多氧化碳(二氧化碳)洪水是增强储油的有效方法存在共识。二氧化碳注射导致油溶胀,降低油粘度,油气蒸发,通过混溶性提高油位移。预计伊朗石油储存器将在即将到来的年度发生严重的压力下降。丰富的二氧化碳,其可用性和有关这种气体的环境问题,使其成为克服这些挑战的有希望的注射气体。由于技术复杂性和发起气体洪水项目的财务要求,在任何其他事情之前都需要综合评估。本工作涉及调查西南伊朗省油储层的部门的二氧化碳注射过程,特别关注相位行为和可收回油量。因此,我们使用真正的岩石和流体性能进行仿真。主要焦点是状态(EOS)的等式,实验PVT数据的建模,使用纤维管模型确定不同气体组合物的MMP(最小混溶性压力)。覆盖了不同完成图案,CO2注射率和喷射压力的效果的其他方面被覆盖。还比较了从不同泛洪方案获得的恢复值。最后,我们在不同的气体洪水情景和自然消耗中检查恢复性能。首先,我们通过回归分析通过PVTI软件进行了流体模型,然后通过回归分析调整了三个参数彭罗宾逊方程。随后,我们将计算的数据与观察数据(从实验室的PVT实验中获得)匹配。接下来,为了更好地理解储层液,我们模拟肿胀和纤薄的管实验。 ECLIPS300软件生成了修整管动态模型。之后通过利用Eclipse300,我们介绍了不同的场景,以识别注射和生产井的最佳数量,CO2注射率,CO2的注射压力,以及打开注射孔的最佳时间。根据从注射CO 2,CH 4,N 2,CH 4 -CO2,CO 2 -C 3和N2-CO 2的混合物获得的模拟结果,观察到CO 2是用于注射目的的最佳液体。仿真结果表明,与本行业的自然消耗相比,储层研究部门的二氧化碳注射导致回收率增加12.9%。

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