FLOWLINE NETWORK OPTIMIZATION MODEL CONSIDERING GAS WELL PRODUCTIVITY USING ARTIFICIAL NEURAL NETWORK

摘要

The present invention relates to a flow line network optimization model considering gas well productivity using an artificial neural network capable of efficiently collecting gas by efficiently connecting pipes used for gas wells. Calculating an average pressure of the reservoir; Determining the number of collecting units (GUs); Determining the total length of the flowline so that the objective function is minimized using the SA algorithm; Determining the location of the collection facility; And modifying the position of the GU and the length of the flow line in consideration of fluidity in correspondence with the determined location of the collection facility and the length of the flow line. have.