Measurements and PR EoS Modeling of Thermophysical Properties at Vapor−Liquid Equilibrium Conditions for Natural Gas Condensate/Live Bitumen Mixtures
近年来，为了响应对能源消耗较低和更环保的沥青开采技术的需求，通过扩展溶剂蒸汽辅助重力泄油（ES-SAGD）技术使用多组分稀释剂引起了极大关注。在这项工作中，我们报告了甲烷-沥青-溶剂多组分混合物的热物理性质（饱和压力、密度、粘度和K值）的新的综合测量和PR状态方程（PR EoS）模拟。所使用的多组分溶剂是包含C3、i-C4、n-C4、i-C5、n-C5、C6和C7+的天然气凝析液。在压力范围1-4 MPa和温度范围313.41-459.10 K下，测量了活性沥青（溶解甲烷的沥青）和各种多组分混合物的密度、粘度、溶解度和K值。采用系统的方法模拟测量数据。实验数据显示，通过选择适当的溶剂（凝析液）组成可以控制活性沥青的饱和压力。凝析液也显著降低了系统的密度和粘度。结果还表明，组分的K值几乎独立于溶剂的组成。本工作中报告的新的综合数据集和EoS模型参数在储层模拟以及ES-SAGD过程的设计和优化中都有应用。
CMG软件应用情况：
实验测量的粘度、密度和K值数据是使用计算机模拟集团（CMG）软件（2018年版）中的PVT软件包（WinProp）进行模拟的。混合物的相态使用PR-EoS描述的，并通过一系列方程和参数进行表达和调整，以确保模型预测与实验数据的一致性。
Figure 1. Schematic of an SAGD process and steam chamber growth. Published: May 13, 2024 The steam chamber grows upward, and bitumen drains downward toward the production well.
Abstract
In response to the need for less energy-intensive and greener bitumen recovery techniques, the use of multicomponent diluents through the expanding solvent steam-assisted gravity drainage (ES-SAGD) technique has garnered signiffcant interest in recent years. In this work, we report new comprehensive measurements and Peng− Robinson equation of state (PR EoS) modeling of thermophysical properties (saturation pressure, density, viscosity, and K-values) of multicomponent mixtures of methanebitumen-solvent. The multicomponent solvent is a natural gas condensate comprised of C3, i-C4, n-C4, i-C5, n-C5, C6, and C7+. Density, viscosity, solubility, and K-values of live bitumen (bitumen with dissolved methane) and various multicomponent mixtures are measured in the pressure range of 1−4 MPa and the temperature range of 313.41− 459.10 K. A systematic approach is utilized to model the measured data. The experimental data show that the saturation pressure of the live bitumen can be controlled by selecting an appropriate solvent (condensate) composition. Condensate also has a signiffcant effect on reducing the density and viscosity of the system. The results also show that the K-values of the components are almost independent of the composition of the solvent. The new comprehensive data set and the EoS model parameters reported in this work ffnd applications in reservoir simulation as well as the design and optimization of the ES-SAGD process.
作者单位：
本文的作者来自加拿大阿尔伯塔省卡尔加里大学舒利克工程学院化学与石油工程系。