| 化子坪长6储层长岩心CO2驱替实验及数值模拟评价 |
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| 引用本文：康宇龙,汪心雯,李超跃,李采,郭朝斌,刘凯,姚振杰,赵永攀.2024.化子坪长6储层长岩心CO2驱替实验及数值模拟评价[J].地球学报,45(2):243-251. |
| DOI：10.3975/cagsb.2023.112801 |
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| 基金项目:国家重点研发计划“二氧化碳提高油藏采收率与地质封存一体化关键技术及应用示范”项目(编号: 2022YFE0206700);中国地质调查局地质调查项目“黄河三角洲二氧化碳地质封存地质调查评价”(编号: DD20221819);国家自然科学基金项目“典型砂岩咸水层二氧化碳地质封存性能定量评价方法研究”(编号: U2244215) |
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| 中文摘要:二氧化碳驱提高石油采收率(CO2-EOR)在我国大部分低渗透、低孔隙度油藏中的应用越来越重要。鉴于国家净零排放目标, 在采用二氧化碳驱提高采收率时, 二氧化碳封存是另一个重要考虑因素。针对低渗油藏, 开展天然岩心长岩心CO2驱替试验, 并利用TOGA(TOUGH Oil, Gas, Aqueous)软件建立岩心尺度数值模型开展模型的识别与验证, 对模型的有效性及物性参数进行敏感性分析, 结果表明, 1)根据出口气油比可将二氧化碳驱油与封存划分为未见气(0~100)、极少量气(100~1 000)、气体突破(1 000~10 000)、大量气窜(＞10 000)四个不同阶段; 2)孔隙度、渗透率及非均质性对模拟结果影响较大, 在后续实际场地模型中应予以重点关注。研究结果可为实际场地规模模型提供参数依据。 |
| 中文关键词:低渗储层 二氧化碳驱油 二氧化碳封存 长岩心 数值模拟 |
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| Long Core Testing and Numerical Simulation Investigations of CO2-EOR and Geological Storage in the 6th Section of the Yanchang Formation in the Huaziping Oil Reservoir |
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| Abstract:Carbon dioxide-enhanced oil recovery (CO2-EOR) has gained increasing importance for many low-permeability and low-porosity oil reservoirs in China. In light of the national net-zero emission target, efficient CO2 storage becomes a vital consideration in the utilization of CO2-EOR techniques. Therefore, for low-permeability reservoirs, experiments involving natural core floods using long rock cores for CO2 displacement were conducted in this study. TOGA (TOUGH Oil, Gas, Aqueous) software was employed to establish a core-scale numerical model to perform model identification and validation. Sensitivity analyses were performed to assess the model's effectiveness and the impact of physical properties. The study produced some interesting results. 1) Based on the gas-oil ratio at the outlet, CO2 flooding for oil recovery can be divided into four different stages: no gas observed (0~100), a minimal amount of gas (100~1 000), gas breakthrough (1 000~10 000), and significant gas breakthrough (>10 000). 2) Porosity, permeability, and heterogeneity were identified as influential factors on simulation results. Therefore, these aspects should be prioritized in subsequent large-scale field models. The findings of this research serve as a foundation for parameterization in large-scale field models implemented at real sites. |
| keywords:low-permeability reservoir CO2 flooding CO2 sequestration long core sample numerical simulation |
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