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首页> 外文期刊>The Canadian Journal of Chemical Engineering >Upscaling study of the cyclic solvent injection process for post-chops reservoirs through numerical simulation
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Upscaling study of the cyclic solvent injection process for post-chops reservoirs through numerical simulation

机译:斩后储层循环溶剂注入过程的数值模拟放大研究

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The cyclic solvent injection (CSI) process has been suggested as the most promising solvent-based recovery method for post-CHOPS reservoirs. Six CSI experiments were performed in three sandpacks with different scales and wormhole locations. Numerical simulations were conducted to history-match the six CSI experiments. The effects of uncertain parameters such as relative permeability, capillary pressure, reaction rate (foamy oil model), and dispersion coefficient on the history-matching were studied. The sensitivity analysis indicated that relative permeability and capillary pressure significantly affected the production performance of the CSI process in the numerical simulation. In particular, capillary pressure played the greatest role in upscaling in both axial and radial directions. Furthermore, capillary pressure effects were aggravated when the wormhole was located in the top of the experimental model. Thus, all CSI experimental production data were matched successfully by tuning the capillary pressure based on the same matched relative permeability curves. A heavy oil post-CHOPS reservoir in western Canada was evaluated for the CSI process at field scale. Wormholes were considered by applying the multi-lateral well model. Post-CHOPS conditions were established by history-matching the field's production of oil and water. The parameters obtained from the history match upscaling studies were adopted in simulating the subsequent CSI process and were set with certain constraints to consider its uncertainty at field scale. The recovery factor after ten years of the CSI process was in the range of 13.5-16.0%.
机译:有人建议将循环溶剂注入(CSI)工艺作为CHOPS后储层最有希望的基于溶剂的采收方法。在三个规模和虫洞位置不同的沙袋中进行了六个CSI实验。进行数值模拟以历史匹配六个CSI实验。研究了相对渗透率,毛细管压力,反应速率(泡沫油模型)和分散系数等不确定参数对历史拟合的影响。敏感性分析表明,在数值模拟中,相对渗透率和毛细压力显着影响了CSI工艺的生产性能。特别是,毛细压力在轴向和径向放大中起最大作用。此外,当虫孔位于实验模型的顶部时,毛细管压力效应会加剧。因此,通过基于相同匹配的相对渗透率曲线调整毛细管压力,可以成功匹配所有CSI实验生产数据。在加拿大西部,对重油后CHOPS储层进行了CSI过程的现场评估。通过应用多边井模型考虑了虫洞。 CHOPS后的条件是通过历史匹配油田和水的生产来确定的。在模拟后续的CSI过程中,采用了从历史匹配提升研究获得的参数,并设置了一定的约束条件以考虑其在现场规模上的不确定性。 CSI过程十年后的恢复因子在13.5-16.0%的范围内。

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