Effect of temperature and concentration of impurities in the fluid stream on CO2 migration in the Utsira formation
Effect of temperature and concentration of impurities in the fluid stream on CO2 migration in the Utsira formation
复制标题
流体流中温度和杂质浓度对 Utsira 地层 CO2 运移的影响
DOI：
10.1016/j.ijggc.2019.01.020
复制
发表时间：
2019
影响因子：
3.9
通讯作者：
K. Midttømme
中科院分区：
文献类型：
--
作者：
E. Hodneland;S. Gasda;R. Kaufmann;Tor Christian Bekkvik;C. Hermanrud;K. Midttømme
在乌齐拉地层的Sleipner油田，使用多相流模拟很难实现令人满意的CO2羽流迁移历史匹配。羽流或储层温度和CO2流中的杂质的建模不佳被认为是模型预测中的不确定性来源。这两个方面都可能对Sleipner油田中羽流迁移的模拟结果产生很大影响，其中注入的流体接近CO2的临界点。为了澄清这些不确定性，我们在Sleipner油田最上层砂层（第9层）的温度和流体成分范围内进行了多相流模拟。结果表明，温度升高几度，同时考虑到分离过程中的杂质，导致与地震数据的比较显着改善。在温度和流体成分之间，温度是成功的最重要的预测因素。这项研究的结果表明，温度对模型预测的影响以前被低估了。实施一个现实的温度和流体成分将导致更好地预测羽流的流动性和存储容量，这是重要的筛选和规划的最佳存储地点。
A satisfying history match of CO2plume migration in the Sleipner field of the Utsira formation has been difficult to achieve using multiphase flow simulations. Poor modeling of plume or reservoir temperature and impurities in the CO2stream have been cited as a source of uncertainty in model predictions. Both of these aspects can have a large impact on the simulation results of plume migration in the Sleipner field where the injected fluid is close to the critical point of CO2. We have performed multiphase flow simulations in the uppermost sand layer of the Sleipner field (Layer 9) over a range of temperatures and fluid compositions in order to clarify these uncertainties. The results reveal that an increase in temperature by a few degrees and simultaneously accounting for impurities from the separation process lead to significantly improved comparison with seismic data. Between temperature and fluid composition, temperature was the most important predictor for success. The results of this study imply that the impact of temperature on model predictions has previously been underestimated. Implementation of a realistic temperature and fluid composition will lead to better prediction of plume mobility and storage capacity, which is important for screening and planning of optimal storage sites.