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Rapid screening and probabilistic estimation of the potential for CO2-EOR and associated geological CO2 storage in Colombian petroleum basins
Petroleum Geoscience ( IF 1.9 ) Pub Date : 2022-02-21 , DOI: 10.1144/petgeo2020-110
Edgar Eduardo Yáñez Angarita 1, 2 , Vanessa Núñez-López 3 , Andrea Ramírez Ramírez 4 , Edgar Castillo Monroy 1 , Andre Faaij 2, 5
Affiliation  

Estimating the oil recovery potential using CO2 (CO2-EOR) at a national level is resource-intensive at a scale that is not usually available. The aim of this study is two-fold: first, the potential for CO2 storage and enhanced oil recovery (EOR) in Colombia is evaluated; and, second, the results from two different calculation methods (stochastic and deterministic) are compared when there is lack of information for a quick screening of suitable oilfields. The deterministic approach is based on expert insight and data found in the literature; while, the stochastic uses statistical data from two different databases (commercial and simulation-based results) to run a Monte Carlo simulation. Potential estimates based on typical values from the literature (deterministic) results in 277 MMbbl (million barrels) of oil and 36 Mt (million tonnes) of CO2. In contrast, a probabilistic-based method using a wide simulation database (stochastic) provides higher values of 690 MMbbl of oil and 203 Mt of CO2. Results using simulation-based and commercial project data also show significant differences. The volume of CO2 injected, which affects the recovery factor, is usually 100% hydrocarbon pore volume (HCPV) in simulation, while commercial projects have nowadays regularly increased from 30% to exceed the 100% threshold. A combination of these approaches avoids a resource-intensive estimation process and effectively provides a more realistic picture of the feasibility of applying CO2-EOR technologies.

Thematic collection: This article is part of the Geoscience for CO2 storage collection available at: https://www.lyellcollection.org/cc/geoscience-for-co2-storage



中文翻译:

哥伦比亚石油盆地 CO2-EOR 和相关地质 CO2 储存潜力的快速筛选和概率估计

在国家层面使用 CO 2 (CO 2 -EOR)估算石油采收潜力是资源密集型的,其规模通常无法获得。本研究的目的有两个:第一,CO 2的潜力评估哥伦比亚的储存和提高石油采收率(EOR);其次,在缺乏快速筛选合适油田的信息时,比较两种不同计算方法(随机和确定)的结果。确定性方法基于专家的见解和文献中的数据;同时,随机变量使用来自两个不同数据库(商业和基于模拟的结果)的统计数据来运行蒙特卡罗模拟。基于文献中的典型值(确定性)的潜在估计结果为 277 MMbbl(百万桶)石油和 36 Mt(百万吨)CO 2。相比之下,使用广泛模拟数据库(随机)的基于概率的方法提供了更高的值,即 690 MMbbl 石油和 203 Mt CO 2. 使用基于模拟和商业项目数据的结果也显示出显着差异。在模拟中,影响采收率的 CO 2注入量通常为 100% 烃孔体积 (HCPV),而如今商业项目经常从 30% 增加到超过 100% 的阈值。这些方法的组合避免了资源密集型估算过程,并有效地提供了应用 CO 2 -EOR 技术可行性的更现实的图景。

专题合集:本文是地球科学 CO 2储存合集的一部分,可在以下网址获取:https://www.lyellcollection.org/cc/geoscience-for-co2-storage

更新日期:2022-02-21
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