Analysis Of The Use Of Superposition For Analytic Models Of CO2 Injection Into Reservoirs With Multiple Injection Sites

S. Simone, S. Jackson, R. Zimmerman, S. Krevor
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Abstract

Large scale CCS is crucial to reduce the cost associated with minimizing climate change. Energy system models should thus include CCS at regional or global scale with a proper evaluation of pressure limitations and injectivity, which are currently ignored. To this aim, the use of simplified analytical solutions is highly useful because they provide fast evaluation of pressure and plume evolution without the computational costs of the numerical models. Application of these solutions to assess storage capacity has been extended to cases of multiple well injection. In these cases, the pressure build-up is evaluated as the superposition of the analytical solutions for pressure associated with each individual well. In this study we investigate the validity of the superposition procedure, given the non-linearity of the multiphase flow. We quantify the error associated with the application of superposition to estimate reservoir pressurisation in different scenarios of.multi-site CO2 injection in a large regional aquifer. We find that the error associated with the adoption of this procedure increases with time and with the number of wells in proportion to the area invaded by CO2 in the reservoir.
多注点油藏CO2注入分析模型的叠加分析
大规模的CCS对于减少与最小化气候变化相关的成本至关重要。因此,能源系统模型应包括区域或全球尺度的CCS,并适当评估目前被忽视的压力限制和注入能力。为了实现这一目标,使用简化的解析解非常有用,因为它们可以快速评估压力和烟羽演化,而无需数值模型的计算成本。这些解决方案的应用已经扩展到多井注入的情况下。在这些情况下,压力累积被评估为与每口井相关的压力解析解的叠加。在本研究中,考虑到多相流的非线性,我们研究了叠加过程的有效性。我们量化了在不同情况下应用叠加来估计油藏压力的误差。大面积区域含水层的多点CO2注入我们发现,与采用该方法相关的误差随时间和井数的增加而增加,并与油藏中CO2侵入的面积成比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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