剩余油区CO2封存与提高采收率能力评价

Bailian Chen, R. Pawar
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引用次数: 7

摘要

剩余油带(ROZs)被定义为石油在地质时期(自然冲刷)被波及并处于剩余饱和状态的区域。在二叠纪盆地,越来越多的roz采用二氧化碳提高采收率(EOR)进行商业开发。本研究对roz的CO2储存潜力、长期CO2命运和采油潜力进行了表征。我们使用基于Permian盆地数据的储层模型对CO2注入进行了数值模拟。研究了CO2储量和潜在采收率随CO2注入量的变化规律。研究了不同井网(五点驱动和直线驱动)和井距对储层CO2留存率和累积产油量的影响。在此基础上,对比了连续注CO2和水-气交替注(WAG)两种不同的注CO2方式对储层CO2储量和提高采收率的影响。在初步表征了roz的CO2储存量和EOR潜力之后,我们下一步开发的经验模型可用于估算不同roz的CO2储存量和石油生产潜力。一种有监督的机器学习算法,多元自适应回归样条(MARS, (Jamali等人))用于开发经验模型。结果表明,CO2滞留效率和采收率随CO2注入量呈非线性变化。研究发现,长期CO2分布是CO2注入量的函数,大部分储层CO2以油气相存在。与线驱井模式相比,5点井模式具有更高的产油量和更大的储层CO2滞留量。在井距研究过程中,我们发现井数越少,CO2滞留率和采收率越高,井数越少,井筒泄漏的可能性也越小。对比WAG和连续CO2注入方式,发现WAG注入的CO2在储层中的滞留率更高,但累积产油量略低。在二氧化碳储存量和提高采收率能力评价的经验模型研究中,结果表明,MARS可以生成高保真度的经验模型,用于预测不同roz的累积二氧化碳储存量和累积产油量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capacity Assessment of CO2 Storage and Enhanced Oil Recovery in Residual Oil Zones
Residual oil zones (ROZs) are defined as those zones where oil is swept over geologic time period (natural flush) and exists at residual saturation. ROZs are increasingly being commercially exploited using CO2-enhanced oil recovery (EOR) (in Permian Basin). In this study, CO2 storage potential, long-term CO2 fate and oil recovery potential in ROZs are characterized. We use numerical simulations of CO2 injection with a reservoir model based on data from the Permian Basin. The changes of CO2 storage capacity and potential oil recovery with amount of CO2 injection are investigated. The effects of different well patterns (five-spot and line drive) and well spacing on fraction of CO2 retained in reservoir and cumulative oil production are also investigated. Furthermore, the effect of different CO2 injection modes, i.e., continuous CO2 injection and water-alternating-gas injection (WAG), on the CO2 storage and EOR potential are evaluated and compared. After the preliminary characterization of CO2 storage and EOR potential in ROZs, we next develop empirical models that can be used for estimating the CO2 storage capacity and oil production potential for different ROZs. A supervised machine learning algorithm, Multivariate Adaptive Regression Splines (MARS, (Jamali et al.)) is used for developing the empirical models. Results show that CO2 retention efficiency and oil recovery vary non-linearly with amount of CO2 injected. It is observed that long-term CO2 fate is a function of CO2 injection amount and significant fraction of reservoir CO2 resides in hydrocarbon phase. Five-spot well pattern results in more oil production and larger amount of CO2 retained in reservoir than line-drive well pattern. During the investigation of well spacing, we observe that less number of wells actually results in higher CO2 retention and oil recovery, and less number of wells can also result in less probability of wellbore leakage. In comparison of WAG and continuous CO2 injection modes, it is observed that WAG injection has higher fraction of injected CO2 retained in reservoir, but with slightly lower cumulative oil production. In the study of empirical models for the capacity assessment of CO2 storage and EOR, results show that MARS can generate high-fidelity empirical models that can be used to predict the cumulative CO2 storage capacity and cumulative oil production for different ROZs.
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