CO2原位提高采收率数值机理研究——动力学与采收率分析

S. Hussain, Xingru Wu, B. Shiau
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引用次数: 0

摘要

如果二氧化碳转换和处理的成本过高,超临界二氧化碳提高采收率(EOR)的成功就无法复制。原位CO2 EOR (ICE)方法的研究成果为许多无法获得廉价CO2源的水淹低产井提供了一种潜在的技术。在此之前,人们只定性地将ICE的协同机制归结为由于CO2优先分配到油相而导致的油膨胀和粘度降低。本研究旨在通过数值模拟和模拟来量化几种可能的机制对采收率因子的贡献。首先,将尿素反应建模为储层条件下产生的CO2化学分解为CO2和氨。二氧化碳分解成油,导致反应继续产生更多的二氧化碳。大部分留在水中的氨可能会进一步与某些原油反应生成表面活性剂,从而降低油水界面张力(IFT)。预计含CO2的油与水的IFT也较低。将不同温度下的反应动力学纳入数值模型。建立了尿素反应化学计量学和动力学、油溶胀效应、油粘度降低和IFT降低对相对渗透率的影响等协同机理的数值模型。在实验室实验中,对Dodecane、Earlsboro和DeepStar三种不同的油进行了孔隙体积注入与油饱和度的历史匹配。用状态方程(EOS)模拟了不同CO2摩尔分数下的相行为。对反应动力学进行了修正,使其符合实验室实验。计算结果表明,Earlsboro油的粘度降低率为76%,DeepStar油为91%,十二烷油为75%。三种实验模型的油膨胀系数范围为1.60% ~ 19%,即油的采收率。对相对渗透率的端点进行了修改,以考虑采收率对IFT和粘度降低的贡献。反应动力学对油膨胀和采收率的影响也被确定,它们与实验室案例中使用的反应动力学在数值上并不接近。十二烷实验室实验的反应动力学、活化能和反应频率因子分别为91.80 kJ/gmol和6.5E+09 min−1。研究得出结论,在所有情况下,油膨胀导致的采收率增量在3.16% ~ 18.30%之间,而IFT降低导致的采收率增量在12.91% ~ 41.59%之间。相对渗透率和尿素反应动力学是历史拟合和模拟ICE协同机理时最不确定的参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Numerical Mechanistic Study of In-Situ CO2 EOR – Kinetics and Recovery Performance Analysis
The success of supercritical CO2 Enhanced Oil Recovery (EOR) cannot be duplicated if the cost of CO2 transposition and processing becomes prohibitive. Research results of the in-situ CO2 EOR (ICE) approach offered a potential technology for many waterflooded stripper wells that lack access to affordable CO2 sources. Previously the ICE synergetic mechanisms were only qualitatively attributed to oil swelling and viscosity reduction due to the preferential partition of CO2 into the oleic phase. This study aims to quantify the contributions to recovery factors from several plausible mechanisms with numerical modeling and simulation. First, the urea reaction was modeled as the CO2 generating chemical decomposing to CO2 and ammonia in the reservoir conditions. The CO2 partitions into oil, which leads to the reaction continuation to generate more CO2. The resulting ammonia largely left in water may further react with certain crudes to generate surfactants, thus, decrease the oil/water interfacial tension (IFT). It is expected that the oil containing CO2 also has a lower IFT with water. The reaction kinetics under different temperatures were incorporated into the numerical model. A numerical model featuring the synergetic mechanisms was built including stoichiometry and kinetics of urea reaction, oil swelling effect, oil viscosity reduction, and IFT reduction effect on the relative permeabilities. The laboratory experiments, pore volume injection versus oil saturation were history matched for three different oils including Dodecane, Earlsboro oil, and DeepStar oil. The phase behavior was modeled with the equation of state (EOS) under different mole fractions of CO2. The reaction kinetics were also modified to history match the laboratory experiment. The estimated reduction of oil viscosity was calculated, 76% for Earlsboro oil, 91% in DeepStar oil, and 75% in dodecane oil. The oil swelling factors ranged from 1.60% to 19% in the three lab models, which translates to the recovery factor of oil. The endpoints of relative permeability were modified to account for the recovery contribution to the IFT and viscosity reduction. The impact of reaction kinetics on oil swelling and recovery factor was also determined, and they are not numerically close to reaction kinetics used in the lab cases. The matched reaction kinetics, activation energy and reaction frequency factor for the dodecane laboratory experiment were 91.80 kJ/gmol and 6.5E+09 min−1. The study concluded that the incremental recovery due to oil swelling ranges between 3.16% and 18.30%, and then from 12.91% to 41.59% is due to IFT reduction for all the cases. The relative permeability and urea reaction kinetics remained the most uncertain parameters during history matching and modeling the ICE synergetic mechanisms.
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