Utilization of Percolation Theory and Multiphysics' Concept to Develop Dynamic Modeling and Accurate Upscaling Approaches for Two-Phase Flow during Immiscible Displacement of Heavy Oil in Porous Media

利用渗流理论和多物理场概念开发多孔介质中稠油非混相驱替过程中两相流的动态建模和精确放大方法

基本信息

批准号：
RGPIN-2017-06877
负责人：
Torabi, Farshid
金额：
$ 1.75万
依托单位：
University of Regina
依托单位国家：
加拿大
项目类别：
Discovery Grants Program - Individual
财政年份：
2020
资助国家：
加拿大
起止时间：
2020-01-01 至 2021-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=712480
关键词：
Utilization Percolation Theory Multiphysics Concept

项目摘要

Heavy oil recovery is typically low, and a significant amount of unrecovered heavy oil is left in the reservoir. Heavy oil production requires enhanced oil recovery (EOR) processes, which fundamentally cause continuous two- or three- phase flow (immiscible or miscible displacement) in porous media. The successful applications of such EOR techniques require more detailed knowledge of flow mechanisms in porous media. The objective of this study is to investigate the fundamental mechanisms of two phase flow (immiscible displacement) in porous media saturated with heavy oil using dynamic percolation network modeling, and its application in heavy oil reservoirs. Since there are many flow and transport mechanisms involved in various EOR techniques, the focus of this study will be on the dynamic immiscible displacement with hot-water, and solvent injection in heavy oil systems so that all proposed short and long term objectives can be achieved. This research program will help fill the knowledge gap in the area of multiphase flow in porous media. Although dynamic pore-network modeling has been studied for years, its application in heavy oil systems has rarely been investigated. We will develop a multiphysical dynamic percolation network modeling method with integrated thermal conductivity of hot-water and solvent injection in heavy oil systems. With the help of this multiphysical dynamic percolation network modeling, the effects of pore scale heterogeneity, particularly pore connectivity and pore-size distribution, viscosity ratio M, capillary number Ca, gravity, thermal conductance and effects of properties of heavy oil and solvent (CO2) on the (hot-water and solvent) displacement will be studied. A basic concept in percolation theory is that permeability k obeys the universal' scaling law (k~(z-zc), where z is coordination number of porous media, zc is percolation threshold and is related to pore size distribution). Universal' scaling law is independent of network lattice and is valid in both regular and disorder networks (pore space of rocks is disorder network), which can be extended to two-phase flow. 'Universal' properties and upscale relations (or mathematical models) between pore-scale heterogeneity, M, Ca, thermal conductance and some macroscopic properties (relative permeability, residual oil saturation, viscous fingering) in heavy oil systems can be derived based on network simulations. The upscaled relations and mathematical models will be validated with experiments on micromodel and sandpacks. All results, including the multiphysical dynamic percolation network modeling and upscaling models, will enable study of more complex related phenomena in EOR processes, such as injection of solvent into pore space containing saline water. Such results allow researchers and industry engineers to optimize the performance of oil production.

重油回收通常很低，并且在水库中留下大量的重油。重油生产需要增强的石油回收（EOR）工艺，从根本上导致多孔介质中连续的两相流量（不可分割或不可分割的位移）。这种EOR技术的成功应用需要在多孔介质中更详细的流动机制知识。这项研究的目的是研究使用动态渗透网络建模饱和的多孔介质中两相流量（不混溶的位移）的基本机制，并在重油储层中的应用。由于各种EOR技术中涉及许多流量和运输机制，因此这项研究的重点将放在热水系统中的动态不混溶的位移以及重油系统中的溶剂注入，以便所有提议的短期和长期目标都可以实现。该研究计划将有助于填补多孔介质中多相流的知识差距。尽管已经研究了多年的动态孔网建模，但很少研究其在重油系统中的应用。我们将开发一种多物理动力学渗透网络建模方法，并在重油系统中使用热水和溶剂注射的整合导热率。借助这种多物理动态渗透网络建模，孔隙尺度异质性，尤其是孔连接性和孔径分布，粘度比M，毛细血管数CA，重力，重力，导热，重油和溶剂和溶剂溶液（CO2）的特性的影响（热水和溶剂）会在（热水和溶剂）上进行研究。渗透理论中的一个基本概念是，渗透率k遵守通用尺度定律（k〜（z-zc），其中z是多孔介质的协调数，zc是渗透阈值，与孔径分布有关）。通用缩放定律独立于网络晶格，并且在常规和疾病网络（岩石的孔隙空间是疾病网络）中都是有效的，可以扩展到两相流。在重油系统中，可以根据网络模拟得出“通用”特性和高档关系（或数学模型），M，CA，CA，CA，CA，TUREMAL电导率和某些宏观渗透特性（相对渗透性，残留油饱和度，粘性指法）。高扫描的关系和数学模型将通过微型模型和沙子袋进行实验来验证。所有结果，包括多物理动力学渗透网络建模和升级模型，都将使能够研究EOR过程中更复杂的相关现象，例如将溶剂注入含有盐水的孔隙空间中。这些结果使研究人员和行业工程师可以优化石油生产的性能。