Chevron U.s.a. Inc.

Baris Guyaguler

Yifan Zhou

Choongyong Han

Christian Wolfsteiner

Thomas James Byer

Xundan Shi

Yih-Bor Chang

Bin Wang

Kon-Ming Gary Li

James Thomas Byer

Embodiments of methods, systems, and computer-readable media for coupling two or more simulators to simulate a coupled multi-physics model of a subsurface formation are provided. A coupling framework loads one or more simulators as shared libraries into a common process and a common memory space with a first simulator to create the coupled multi-physics model of the subsurface formation. During simulation, the coupling framework controls data exchange between the first simulator and the other simulator(s) through the common memory space and controls execution of the first simulator and the other simulator(s) responsive to the common process. In the event of two-way coupling, the coupling framework can receive feedback from the other simulator(s) and alter execution of the first simulator. In the event of grid misalignment, the coupling framework can map data between the first simulator and the other simulator(s) such as in a globally conservative (e.g., mass, energy, etc.) manner.

Coupling a simulator and at least one other simulator

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.

Process for optimized chemical enhanced recovery

A method for enhancing the allocation of fluid flow rates among a plurality of well bores in fluid communication with at least one subterranean reservoir is disclosed. An objective function and system equations are generated which utilize constraint violation penalties associated with soft constraints. The soft constraints are constraints which may be violated if necessary to arrive at a feasible solution to optimizing the objective function and the system equations. The fluid flow rates are then allocated among the well bores as determined by the optimizing of the objective function and system equations. Fluid flow rates among well bores, particularly those exhibiting similar fluid characteristics, may be related to one another. Initial flow rates of components (oil, gas, and water) and pressures in the well bores may be determined by an initial simulation run. Then additional component flow rates may be estimated by scaling the original component flow rates based upon changing pressure draw downs in the well bores.

Method for field scale production optimization by enhancing the allocation of well flow rates

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San Ramon, CA, United States of America

Baris Guyaguler