An intelligent approach to optimize multiphase subsea oil fields lifted by electrical submersible pumps
Operation of subsea multi-phase petroleum fields, lifted by ESPs, is optimized. Two artificial intelligence techniques are used to tackle two major difficulties. The first difficulty is to estimate pumps BHP, then the oil production profit. The second difficulty is to solve a heavily constrained optimization problem.
subsea oil field electrical submersible pump gaseous petroleum fluids artificial neural networks evolutionary optimization