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Featured researches published by Choongyong Han.


Spe Journal | 2007

A Fully Implicit, Compositional, Parallel Simulator for IOR Processes in Fractured Reservoirs

Reza Naimi-Tajdar; Choongyong Han; Kamy Sepehrnoori; Todd Arbogast; Mark A. Miller

Naturally fractured reservoirs contain a significant amount of the world oil reserves. A number of these fields contain several billion barrels of oil. Accurate and efficient reservoir simulation of naturally fractured reservoirs is one of the most important, challenging, and computationally intensive problems in reservoir engineering. Parallel reservoir simulators developed for naturally fractured reservoirs can effectively address the computational problem. A new accurate parallel simulator for large-scale naturally fractured reservoirs, capable of modeling fluid flow in both rock matrix and fractures, has been developed. The simulator is a parallel, 3D, fully implicit, equation-of-state compositional model that uses numerical tools for solving very large, sparse linear systems arising from discretization of the governing partial differential equations. A generalized dual porosity model, the multiple-interacting-continua (MINC), has been implemented in this simulator. The matrix blocks are discretized into subgrids in both horizontal and vertical directions to offer a more accurate transient flow description in matrix blocks. We believe this implementation has led to a unique and powerful reservoir simulator that can be used by small and large oil producers to help them in design and prediction of complex gas and waterflooding processes on their desktops or a cluster of computers. Some features of this simulator, such as modeling both gas and water processes with the ability of two-dimensional matrix subgridding for naturally fractured reservoirs, to the best of our knowledge are not available in any commercial simulator. The development was performed on a cluster of processors, which has proven to be a very efficient and convenient resource for developing parallel programs. The results were successfully verified against analytical solutions and commercial simulators (ECLIPSE and GEM). Excellent agreement was achieved for a variety of reservoir case studies. Applications of this model for several IOR processes (including gas and water injection) are demonstrated. Simulation results using the simulator on a cluster of processors are also presented. Excellent speedups were obtained using the simulator in conjunction with solving a variety of problems.


Spe Journal | 2007

A Fully Implicit, Parallel, Compositional Chemical Flooding Simulator

Choongyong Han; Mojdeh Delshad; Kamy Sepehrnoori; Gary A. Pope


Journal of Petroleum Science and Engineering | 2013

A simplified model for simulations of alkaline–surfactant–polymer floods

Mojdeh Delshad; Choongyong Han; Faiz Koyassan Veedu; Gary A. Pope


Journal of Petroleum Science and Engineering | 2012

Formulations for a three-phase, fully implicit, parallel, EOS compositional surfactant–polymer flooding simulator

N. Fathi Najafabadi; Mojdeh Delshad; Choongyong Han; Kamy Sepehrnoori


Archive | 2011

Constrained Pressure Residual Preconditioner For Efficient Solution Of The Adjoint Equation

Choongyong Han; John Wallis; Pallav Sarma; Gary Li; Mark Schrader; Wen Chen


annual simulation symposium | 2009

Development of a Three Phase, Fully Implicit, Parallel Chemical Flood Simulator

Mojdeh Delshad; Choongyong Han; Kamy Sepehrnoori; Nariman Fathi Najafabadi


Spe Journal | 2013

Adaptation of the CPR Preconditioner for Efficient Solution of the Adjoint Equation

Choongyong Han; John Wallis; Pallav Sarma; Gary Li; Mark Schrader; Wen H. Chen


Spe Journal | 2009

Coupling Equation-of-State Compositional and Surfactant Models in a Fully Implicit Parallel Reservoir Simulator Using the Equivalent-Alkane-Carbon-Number Concept

Choongyong Han; Mojdeh Delshad; Gary A. Pope; Kamy Sepehrnoori


Spe Journal | 2005

A New Generation Chemical Flooding Simulator

Abraham John; Choongyong Han; Mojdeh Delshad; Gary A. Pope; Kamy Sepehrnoori


SPE Reservoir Simulation Conference | 2017

A Mixed Natural and Concentration Variable Formulation for Chemical Flood Simulation

Xundan Shi; Choongyong Han; Christian Wolfsteiner; Yih-Bor Chang; Mark Schrader

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Kamy Sepehrnoori

University of Texas at Austin

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Mojdeh Delshad

University of Texas at Austin

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Gary A. Pope

University of Texas at Austin

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Faiz Koyassan Veedu

University of Texas at Austin

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Mark A. Miller

University of Texas at Austin

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