Experimental and Numerical Simulation Studies of Cyclic Solvent Injection (CSI) Coupled with Hot-Water Injection and Electro-Thermal Heating in Post CHOPS Reservoirs

CHOPS 后油藏循环溶剂注入 (CSI) 结合热水注入和电热加热的实验和数值模拟研究

• 批准号: DDG-2015-00024
• 负责人: Torabi, Farshid
• 金额: $ 0.73万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Development Grant
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=612428
• 关键词: Experimental; Numerical; Simulation; Studies; Cyclic

Cold heavy oil production with sand (CHOPS) involves the continuous flow of heavy oil together with an influx of sand to enhance oil production rates. The achieved recovery rates are low which leaves a significant amount of unrecovered heavy oil in post CHOPS reservoirs. Solvent-based enhanced oil recovery (EOR) processes such as cyclic solvent injection (CSI), co-injection of hot water and solvent as well as the combination of solvent injection with electro-resistivity heating are among the most promising techniques to enhance production in post CHOPS reservoirs. The successful application of such EOR processes requires a more detailed knowledge of recovery mechanisms and affecting reservoir and operational parameters. It is the objective of this research proposal to investigate the application of CSI and co-injection of hot water (HW-CSI) as well as in-situ heating through the utilization of electro-thermal methods (i.e. electro-resistivity) combined with solvents (ER-CSI) for post CHOPS reservoirs. More specifically, the effects of reservoir rocks and fluid properties such as reservoir permeability, wormhole length and configuration, and heavy oil viscosity will be studied. In addition effects of operating parameters including solvent type, injection pressure, slug size, length and duration of each injection cycle for CSI will be analyzed. Furthermore, the possibility of wormhole collapse, its effects, and potential prevention and remediation strategies for CSI and co-injection of hot water and solvent as well as combination of solvent injection with electro-thermal heating will be thoroughly investigated. A novel mathematical model will be developed to consider the dynamic changes in fluid and rock properties, foamy oil flow as well as the growth of wormholes. The effects of asphaltene precipitation on foamy oil behavior as well the overall performance of the processes will be also experimentally studied. Finally, CMG’s STARS will be used to simulate lab-scale processes for CSI, co-injection of hot water and solvent and combination of solvent injection and electro-resistance heating. The simulation model will be history matched with the experimental results and used to evaluate the effects of other parameters such as various well configurations and permeability anisotropy. A combination of the results obtained from experimental studies with those from numerical simulation will lead the researchers involved in this study to provide a more accurate numerical simulation model that can predict the performance of the CSI combined with hot-water and/or in-situ heating in post CHOPS reservoirs more precisely and while mapping the properties of the wormholes generated during the process. Such a model allows the researchers, and industry engineers to optimize the operating conditions to maximize the performance of CSI.

用沙子（印章）冷的重油生产涉及重油的连续流动以及沙子的影响，以提高石油生产率。所达到的恢复率很低，在后排储量中留下了大量未恢复的重油。基于溶剂的增强油回收率（EOR）过程，例如环状溶解度注射（CSI），热水和溶解度的共同注入以及溶剂注射与电抗性加热的组合是增强后壳储层中产生的最有希望的技术。这种EOR过程的成功应用需要更详细的了解恢复机制，并影响储层和操作参数。这项研究建议的目的是研究CSI的应用和热水（HW-CSI）的共同注入以及通过利用电热方法（即电阻）与溶液（ER-CSI）相结合的溶液（即电抗性），以供料斗后储层。更具体地说，将研究储层岩石和流体特性（例如储层渗透性，虫孔长度和构型）的影响以及重油粘度。另外，将分析运行参数，包括溶剂类型，注入压力，sl尺寸，长度和CSI注射周期的持续时间。此外，将彻底研究虫洞崩溃的可能性，其作用以及潜在的预防和补救策略，以及对热水和偿付能力的共同注射以及溶液注入与电热加热的组合。将开发一种新型的数学模型，以考虑流体和岩石性能，泡沫油流以及虫洞的生长的动态变化。还将研究沥青质沉淀对泡沫油行为的影响以及过程的整体性能。最后，CMG的恒星将用于模拟CSI的实验室规模过程，热水和溶剂的共同注入以及溶液注入和电耐电性加热的组合。模拟模型将与实验结果相匹配，并用于评估其他参数的影响，例如各种井构型和渗透率各向异性。从实验研究中获得的结果与数值模拟的结果的结合将导致参与这项研究的研究人员提供更准确的数值模拟模型，该模型可以预测CSI的性能与热水和/或在邮食储层中的热水和/或原位加热相结合，同时更加精确地绘制了在此过程中生成的毛孔性能。这样的模型使研究人员和行业工程师可以优化运行条件，以最大程度地提高CSI的性能。