Prediction of sub-equilibrium drilling rate in oil and gas wells (UBD) using geneticalgorithm

To predict the below-equilibrium drilling rate, a genetic algorithm is used and to predict and reducethe drilling fluid waste from the neural network and the particle density optimization algorithm, which is a newmethod and with the help of the model presented, the drilling fluid waste can be corrected by improvingeffective parameters

کلیدواژه ها:

Drilling operations ، trans balanced drilling ، sub balanced drilling ، drilling rate ، gas wells