Short-term model-based production optimization of a surface production network with electric submersible pumps using piecewise-linear functions

For the cases tested the optimization methodology has low runtime (13 s avg.), reproduces with an acceptable accuracy (average 0.6%, maximum 5%) the original network model, it handles successfully multiple operational constraints and guarantees global optimality. Additionally, it can be easily updated to reflect depletion changes by generating new tables. Monte Carlo simulations show that model fidelity has a minimal effect in the variation of the optimal conditions found. The modifications to enforce high ESP efficiency reduce significantly the maximum oil production predicted (37%).