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A diffusion-based compositionally-extended black oil model to investigate produced gas re-injection EOR in Eagle Ford

机译:基于扩散的组成延伸的黑色油模型,用于研究Eagle Ford中产生的气体重新注入EOR

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In this study, an in-house reduced black oil simulation model is used to investigate cyclic produced gas rejection in Eagle Ford shale formation. Molecular diffusion may play a crucial role in mass transfer in tight shale formations. However, the diffusion has not been incorporated in a black-oil type model in previous studies. In this study, the diffusive term is included into the governing equation and its effect on production performance is examined by using a black oil model. Diffusion coefficients are calculated by using Sigmund correlation, which makes them a function of phase compositions, phase properties, pressure, and temperature. Considering that phase compositions are influenced by large gas-oil capillary pressure nanoconfinement effect, diffusion coefficients are also altered based on this affect. This is the first study that incorporates the large gas-oil capillary pressure effect on diffusion coefficients in nanopores, through using a reduced black oil model. The operation parameters including initial injection time, injection rate, number of cycles are examined. We found that larger injection rates and more number of cycles are efficient in improving the oil recovery. Injection rate is the most crucial parameters in cyclic gas injection approach, followed by cycle numbers. Huff-n-puff results in good efficiency at relatively tight matrix, however, it is not always more efficient for very low permeabilities, as for the very tight formation, the injection gas cannot penetrate to the deeper formation to bring out much more oil from the reservoir in the same "huff" and "soaking" time period. The molecular diffusion plays an important role in gas injection process and cannot be ignored. When nano-confinement effect is included, the diffusion coefficient in gas phase is decreased and the diffusion coefficient in oil phase is increased as pore size decreases, but the effect is not strong especially at relatively high pressures.
机译:在本研究中,内部减少的黑色油模拟模型用于调查鹰福特页岩形成中的循环产生的气体排斥。分子扩散可能在紧张的页岩形成中的大规模转移中起着至关重要的作用。然而,扩散尚未在先前研究中的黑油型模型中纳入其中。在该研究中,将扩散项包含在控制方程中,并且通过使用黑色油模型检查其对生产性能的影响。通过使用Sigmund相关性来计算扩散系数,这使得它们成为相组合物,相性能,压力和温度的函数。考虑到相组合物受大型气体油毛细管压力纳米钨效果的影响,基于这种影响也改变了扩散系数。这是第一项研究,通过使用减少的黑色油模型将大的气体油毛细管压力效应掺入纳米孔中的扩散系数。检查包括初始喷射时间,注射率,周期数的操作参数。我们发现更大的注射率和更多数量的循环在改善储存方面是有效的。注射速率是循环气体注入方法中最重要的参数,其次是循环编号。 Huff-n-Puff在相对紧致的矩阵中效率良好,然而,对于非常紧密的形成并不总是更有效,因为对于非常紧张的形成,注射气体不能渗透到更深的地层中,以引起更多的油水库在同一个“huff”和“浸泡”时间段内。分子扩散在气体注入过程中起重要作用,不能被忽略。当包括纳米限制效果时,随着孔径降低,气相中的扩散系数降低,并且油相的扩散系数增加,但效果不强,特别是在相对较高的压力下。

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