Investigation and Modeling of the Effect of Rock Permeability on the Performance of Nitrogen Injection into Reservoirs by Neural Network

In this work we used an ideal model to investigate the effect of rock permeability on the production rate and reservoir pressure decline. The model was simulated and developed by using ECLIPSE300 software, which involved two producing wells and one injection well. Change in permeability, in Z direction is the scenario introduced. Production rate increases with increasing permeability in the same direction. Maximum pressure loss occurs at 1 milli Darcy permeability, which results in the reduction of pressure loss(due to well completion) and pressure decline(due to injection into the reservoir and its saturation). Also we determinded and established the correlation between permeability and pressure and total production with the aid of neural network.