Patents by Inventor Choongyong Han

Choongyong Han has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Process for optimized chemical enhanced recovery
    Patent number: 11567058
    Abstract: A method for simulating a microemulsion system in a chemical enhanced oil recovery process is disclosed. The method includes receiving a geological model of a subsurface reservoir that defines a grid having a plurality of cells, determining a surfactant concentration for each cell based on a volume of surfactant and a volume of water within the cell and independently from a volume of oil in the cell, and simulating fluids flowing in the subsurface reservoir. Results from simulation can be used to optimize a chemical enhanced oil recovery process in a subsurface reservoir.
    Type: Grant
    Filed: September 21, 2018
    Date of Patent: January 31, 2023
    Assignee: Chevron U.S.A. Inc.
    Inventors: Xundan Shi, Choongyong Han, Yih-Bor Chang, Christian Wolfsteiner, Baris Guyaguler
  • METHOD FOR REDUCING UNPHYSICAL SOLUTIONS IN CHEMICAL ENHANCED OIL RECOVERY SIMULATIONS
    Publication number: 20190094199
    Abstract: A method for simulating a microemulsion system in a chemical enhanced oil recovery process is disclosed. The method includes receiving a geological model of a subsurface reservoir that defines a grid having a plurality of cells, determining a surfactant concentration for each cell based on a volume of surfactant and a volume of water within the cell and independently from a volume of oil in the cell, and simulating fluids flowing in the subsurface reservoir. Results from simulation can be used to optimize a chemical enhanced oil recovery process in a subsurface reservoir.
    Type: Application
    Filed: September 21, 2018
    Publication date: March 28, 2019
    Applicant: Chevron U.S.A. Inc.
    Inventors: Xundan Shi, Choongyong Han, Yih-Bor Chang, Christian Wolfsteiner, Baris Guyaguler
  • Constrained pressure residual preconditioner for efficient solution of the adjoint equation
    Patent number: 8775144
    Abstract: A method, system and computer program product is disclosed for using a constrained pressure residual (CPR) preconditioner to solve adjoint models. A linear system of fluid flow equations comprising a plurality of variables that represent fluid flow properties in a geological formation of a subterranean reservoir is provided. Matrix (Ã)T, which comprises a transpose of a Jacobian matrix associated with the linear system of fluid flow equations, is constructed. A constrained pressure residual preconditioner MCPRA?1 is constructed responsive to the matrix (Ã)T. Matrix equation (Ã)Ty=d is then solved using the constrained pressure residual preconditioner MCPRA?1.
    Type: Grant
    Filed: December 12, 2011
    Date of Patent: July 8, 2014
    Assignee: Chevron U.S.A. Inc.
    Inventors: Choongyong Han, John Wallis, Pallav Sarma, Gary Li, Mark Schrader, Wen Chen
  • Constrained Pressure Residual Preconditioner For Efficient Solution Of The Adjoint Equation
    Publication number: 20120150506
    Abstract: A method, system and computer program product is disclosed for using a constrained pressure residual (CPR) preconditioner to solve adjoint models. A linear system of fluid flow equations comprising a plurality of variables that represent fluid flow properties in a geological formation of a subterranean reservoir is provided. Matrix (Ã)T, which comprises a transpose of a Jacobian matrix associated with the linear system of fluid flow equations, is constructed. A constrained pressure residual preconditioner MCPRA?1 is constructed responsive to the matrix (Ã)T. Matrix equation (Ã)Ty=d is then solved using the constrained pressure residual preconditioner MCPRA?1.
    Type: Application
    Filed: December 12, 2011
    Publication date: June 14, 2012
    Applicant: Chevron U.S.A. Inc.
    Inventors: Choongyong Han, John Wallis, Pallav Sarma, Gary Li, Mark Schrader, Wen Chen