数字岩石分析在凝析气输运评价中的应用

O. Dinariev, N. Evseev
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引用次数: 0

摘要

提出了用数字岩石分析方法计算凝析气相渗透率的方法。提出的方法结合:a)构建孔隙空间的高分辨率层析图像;B)在孔隙尺度上建立了气凝析混合物的组分模型,包括流变学、流体-流体和流体-岩石界面张力系数以及流体相的热力学和动力学性质;c)利用密度泛函流体动力学数值模拟器对多相输运和界面化学成分交换进行三维孔隙尺度模拟。该数字岩石分析工作流程应用于孔隙尺度上的凝析气运移。采用x射线微ct成像岩石孔隙结构建立三维数字岩石模型进行数值模拟。通过指定不同的气体和凝析油馏分和注入速率,可以通过计算获得三维饱和度分布场和相渗透率。三维密度泛函水动力模拟的结果提供了孔隙尺度上气凝析混合物的全面描述,包括水动力脱饱和效应和相变动力学现象。研究表明,孔隙中的凝析液分布、相迁移阈值和相渗透率取决于润湿性和流速。结果表明,单个孔隙中的凝析液成分也动态地依赖于流动形式。这些结果可用于油田开发规划,以改进对生产井附近凝析油库和油藏凝析油损失的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Digital Rock Analysis for Evaluation of Gas-Condensate Transport
The computational method for gas-condensate phase permeabilities is presented using digital rock analysis. The proposed method combines: a) construction of high-resolution tomographic images of the pore space; b) development of compositional model of a gas-condensate mixture at pore-scale including rheology, fluid-fluid and fluid-rock interfacial tension coefficients, and thermodynamic and kinetic properties of fluid phases; c) 3D pore-scale modeling of multiphase transport and interfacial chemical component exchange using the density functional hydrodynamics numerical simulator. This digital rock analysis workflow is applied to the gas-condensate transport at pore-scale. The numerical simulations are carried out using the 3D digital rock model constructed by X-ray microCT imaging of the rock pore structure. By specifying different gas and condensate fractions and injection rates it has been possible to obtain computationally 3D saturation distribution fields and the phase permeabilities. The results of 3D density functional hydrodynamic simulations provide the comprehensive description of gas-condensate mixture at pore-scale including hydrodynamic desaturation effects and phase transition kinetic phenomena. It is demonstrated that condensate distribution in pores, phase mobility thresholds and phase permeabilities are dependent on wettability properties and flow rates. It is shown that condensate composition in individual pores is also dynamically dependent on flow regimes. These results can be used in field development planning for the improved evaluation of condensate banking in the vicinity of production wells and condensate losses in the reservoir.
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