Modeling CO_2 miscible flooding for enhanced oil recovery

作     者：Ju Binshan Wu Yu-Shu Qin Jishun Fan Tailiang Li Zhiping 

作者机构：School of Energy ResourcesChina University of Geosciences(Beijing)Beijing100083China Key Laboratory of Marine Reservoir Evolution and Hydrocarbon Accumulation MechanismMinistry of EducationChinaUniversity of Geosciences(Beijing)Beijing 100083China Colorado School of MinesUSA PetroChina Research Institute of Petroleum Exploration and DevelopmentBeijing 100083China 

出 版 物：《Petroleum Science》 (石油科学（英文版）)

年 卷 期：2012年第9卷第2期

页      面：192-198页

核心收录：

学科分类：0820[工学-石油与天然气工程] 08[工学] 082002[工学-油气田开发工程] 

基　　金：Parts of this work were supported by the National Science and Technology Major Projects (2011ZX05009-002, 2011ZX05009–006) the Fundamental Research Funds for the Central Universities, the Project-sponsored by SRF for ROCS, SEM, and the joint research on "Investigation of Mathematical Models and Their Applications for Oil, Water and CO2 Flow in Reservoirs" between Colorado School of Mines, U.S.A and PetroChina Research Institute of Petroleum Exploration & Development (RIPED), CNPC, China 

主　　题：Compositional simulator CO2 flooding mathematical model irregular grids 

摘      要：The injection of fuel-generated CO2 into oil reservoirs will lead to two benefits in both enhanced oil recovery （EOR） and the reduction in atmospheric emission of CO2. To get an insight into CO2 miscible flooding performance in oil reservoirs, a multi-compositional non-isothermal CO2 miscible flooding mathematical model is developed. The convection and diffusion of CO2-hydrocarbon mixtures in multiphase fluids in reservoirs, mass transfer between CO2 and crude, and formation damages caused by asphaltene precipitation are fully considered in the model. The governing equations are discretized in space using the integral finite difference method. The Newton-Raphson iterative technique was used to solve the nonlinear equation systems of mass and energy conservation. A numerical simulator, in which regular grids and irregular grids are optional, was developed for predicting CO2 miscible flooding processes. Two examples of one-dimensional （1D） regular and three-dimensional （3D） rectangle and polygonal grids are designed to demonstrate the functions of the simulator. Experimental data validate the developed simulator by comparison with 1D simulation results. The applications of the simulator indicate that it is feasible for predicting CO2 flooding in oil reservoirs for EOR.