Abstract
Fitness function is the heart of optimization problems. In gas allocation optimization, the fitness function takes the injection rates of different wells and returns the total revenue, or in some cases the total production oil rate. If the production rate of a well for different amount of injection rate could be calculated, then the fitness function has been found. There are different methods to gain the fitness function, one is the use of nodal analysis in which the well length is divided to some sections in order to ensure the small change of pressure and temperature and thus almost constant pvt properties of the fluid in the section length. Afterwards, using the empirical correlations, the production oil rate for a specific injected gas rate is calculated. This method can be done by the analytical approach, using equations such as mass balance, momentum balance, etc. Another method for creating a fitness function is using proxy models there are different methods to create the proxy models and they are relatively fast but their problem is their low accuracy. The mentioned methods can calculate the oil rate, but if the net profit is required, it can be gained using the economic methods in addition to the calculated production rates. The final point is that during the production life some economic and technical parameters change. As an example of a technical one, the reservoir condition is time dependent and thus there is a need to involve that in long term problems and here, the need for integrated modeling discloses. In this chapter, all the mentioned topics will be discussed in more details.
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Khamehchi, E., Mahdiani, M. (2017). The Fitness Function of Gas Allocation Optimization. In: Gas Allocation Optimization Methods in Artificial Gas Lift. SpringerBriefs in Petroleum Geoscience & Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-51451-2_2
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