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We estimate the well controls, well locations and the vertical separation between injector and producer simultaneously.
The drawdown of pore pressure around the well controls the increase in effective stress.
We optimize the well controls (rates or pressures) and ICV settings simultaneously and compare the NPV obtained by this process with the NPV obtained by optimizing only well controls and with the NPV generated by optimizing only ICV settings.
Production optimization aims at achieving the best development performance for a given reservoir by optimizing well controls.
We performed the search of optimum parameters; the vertical separation between injector and producer, well controls and well locations.
Field development planning entails determination of the optimal number of wells (horizontal/vertical), well types (producer/injector), well locations, and well controls.
Life-cycle production optimization is performed on an oil reservoir to find the optimal well controls for a fifteen-year producing period.
Today's simulators are fully three-dimensional and fully compressible and they account for gravity, fracture flow, and non-uniform conditions as well as complex well controls.
That is, one may claim that our method well controls the global error within the given tolerances for this complicated system.
Efficient methods used to optimize the recovery strategy make use of gradients of an economic objective function with respect to the well controls at every time step.
In previous study (Chen and Reynolds, 2016), we proposed an algorithm to optimize the well controls which maximize the life-cycle net-present-value (NPV).
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