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敏感性研究往往能评价不定参数对储层特性的影响,本文强调流体物性数值模拟研究的影响,主要目的是确定在CO2混相驱中影响采收率的主要流体物性。使用修正黑油模拟器,改变原油和注入气密度、黏度、地层体积系数,评价对注入动态的影响。影响可用正态均方根离差和微分变换指数量化。从模拟结果看,模型对流体地层体积系数最敏感,其次是流体密度,对流体黏度最不敏感。为使影响降到最低,模拟前应适当辨别和分析以上流体物性数据。
Sensitivity research often evaluates the influence of indefinite parameters on reservoir properties. This article emphasizes the impact of numerical simulation of fluid properties, with the main objective of determining the main fluid properties that affect oil recovery in a CO2 mixed-phase flooding. The modified black oil simulator was used to modify the crude oil and injected gas density, viscosity, and formation volume factor to evaluate the effect on injection kinetics. The impact can be exponentially quantized using normal root mean square deviation and differential transform. From the simulation results, the model is most sensitive to the volume coefficient of fluid formation, followed by the fluid density, which is the least sensitive to fluid viscosity. In order to minimize the effects, the above fluid physical data should be properly identified and analyzed before simulation.