Screening and optimization of CO2-WAG injection and fish-bone well structures in low permeability reservoirs using artificial neural network

Low permeability oil reservoirs yield low production rates and recovery factors because of their low porosity, low permeability, and low oil mobility. The low production from low permeability reservoirs prohibits many reservoirs from being economically producible. For those reservoirs to be considered for production, advanced production techniques are needed to increase the recovery rates. Previous research efforts concluded that utilizing advanced well structures and Carbon Dioxide based Water Alternating Gas (CO2 -WAG) injection are the most successful techniques to improve oil production from low permeability oil reservoirs. However, evaluating the implementation of a combination of those two production techniques to a low permeability reservoir is an expensive process due to the long run time needed to acquire the results using numerical simulation. Furthermore, optimization and history matching processes for these complicated production plans require more time and high computation power.