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In production optimization, the optimal water injection profiles and the production borehole pressures are computed by solution of an optimal control problem that maximizes a financial measure such as the Net Present Value (NPV).
Even with a history matched model, a robust production optimization algorithm is required to find an optimal value of net present value (NPV).
Life-cycle production optimization is performed on an oil reservoir to find the optimal well controls for a fifteen-year producing period.
A new methodology for efficiently modeling, updating, and optimizing large waterflooding operations is presented that bases the ensemble closed-loop production optimization (EnOpt) upon the capacitance resistive model (CRM) as the underlying dynamical system.
Production optimization aims at achieving the best development performance for a given reservoir by optimizing well controls.
For production optimization, we use the ensemble-based optimization method.
The production optimization of α-amylase (E.C.3.2.1.1).
In applications such as production optimization and history matching, thousands of simulation runs may be required.
Production optimization involving injection has successfully improved oil production by increasing recovery.
Consequently, operating companies are reluctant to adopt model-based production optimization into their operations.
And production optimization could be achieved through a robust reservoir simulation program.
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