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Use of Stripping Ratios to Identify Dispersion Levels and Displacement Mechanisms in Miscible Gas Floods

机译:利用溶出比确定混溶性天然气驱中的弥散水平和驱替机制

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Oil recovery estimated from numerical simulation of miscible gas floods is highly dependent on the grid-block sizes used and the level of reservoir dispersion. Stripping ratios, defined as the ratio of certain heavy to light components, have been used recently to estimate the level of in situ dispersion at the field scale. The use of stripping ratios, however, has not been thoroughly investigated. The focus of this paper is to validate the use of stripping ratios and to determine its appropriate definition for certain gas injection processes. The approach is applied to the condensing/vaporizing displacement of twelve-component oil by a five-component miscible injectant (MI). Analytical gas injection theory based on the method of characteristics is used to help identify the correct choice of components to calculate the stripping ratio. Numerical simulations are conducted for both 1-D and 2-D gas floods. The results from 1-D displacements show that the condensing and vaporizing region can be identified from stripping ratios when the stripping ratio is calculated from the heaviest component in the oil and the lightest component in the oil not present in the injected gas. The stripping ratio for 1-D field scale displacements is shown to be useful in identifying (as measured from core data) if a large level of dispersion and mixing is present for such reservoirs. For more realistic 2-D (and 3-D) displacements, however, crossflow or re-saturation occurs, which can complicate the interpretation of the stripping ratio and its use as a practical reservoir engineering tool. We show that the level of dispersion at field scale might be qualitatively confirmed by comparison of stripping ratio and oil saturation data from cores to those determined from simulation. When dispersion is low (near a longitudinal dispersivity of about 1.0 ft) resaturated regions give large oil saturations accompanied by very large stripping ratios. These features are not present at dispersivity levels greater than 5.0 ft.
机译:从混溶性气体驱替的数值模拟中估计的采油量高度依赖于所用的网格块尺寸和储层分散程度。剥离比定义为某些重组分与轻组分之比,最近已用于估算现场规模的原位分散水平。但是,尚未对剥离率的使用进行彻底研究。 本文的重点是验证汽提比的使用并确定其在某些气体注入过程中的适当定义。该方法适用于通过五组分混溶性喷射剂(MI)进行十二组分油的冷凝/蒸发驱替。基于特征方法的分析气体注入理论被用于帮助确定正确的组分选择,以计算汽提率。对一维和二维天然气驱进行了数值模拟。 一维位移的结果表明,当从油中最重的组分和注入气体中不存在的油中最轻的组分计算汽提率时,可以从汽提率中识别出冷凝和汽化区域。一维场尺度位移的汽提比显示出可用于识别(根据岩心数据测量)此类储层是否存在大量的分散和混合。但是,对于更逼真的2-D(和3-D)位移,会发生错流或再饱和,这可能会使剥离率的解释及其作为实际油藏工程工具的使用变得复杂。我们表明,通过将岩心的汽提比和油饱和度数据与通过模拟确定的那些数据进行比较,可以定性地确定油田规模的弥散水平。当分散度低时(纵向分散度约为1.0英尺附近),重新饱和的区域会产生较大的油饱和度,并具有非常大的汽提比。当分散度大于5.0英尺时,这些特征不存在。

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