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To this point, we had prepared an optimizer model, which was able to optimize a gas allocation problem properly in the gas lift operation.
There are many studies on different aspects of this problem but none of them have focused on this phenomenon in a gas allocation optimization problem.
Here, as a new approach, instability has been prevented by considering it in the design stage of a gas allocation optimization problem.
Similar(56)
Our calculations showed that the initiation time has a noticeable influence on the optimization procedure and should be considered a major factor for gas allocation problems in real fields.
In this paper, we present a new approach to generate an appropriate model to couple time effect, GLPC, and economic considerations to optimize the gas allocation for a system of wells and answer the question regarding to the best time for gas lift initiation.
After the initial screening of the wells, a genetic algorithm approach was applied to optimize the gas allocation problem.
The optimization procedure for gas allocation to several wells is achieved using the Genetic algorithm approach.
Hence, the goal of the gas allocation optimization is to maximize the oil production.
For example, the application of ACO is gas allocation in gas lift operations (Zerafat et al. 2009).
This approach is called gas allocation optimization which increases the oil production and decreases the gas compression cost.
Figure 2 shows the total oil production computed by our gas allocation approach and that of other models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com