Robust integrated optimization of well placement and control under field production constraints

Field development and control optimization aim to maximize the economic profit of oil gas production while respecting various constraints such as limits imposed by available fluid processing capacity and/or reservoir management strategies. The limitations existing workflows are 1) well locations or production/injection controls optimized independently despite fact that one affects another, 2) forthcoming field ignored during at least these stages. This paper presents a robust, multi-level framework for under considering description uncertainty. developed is based on sequential iterative variables different levels, where loop placement followed continues until no significant improvement observed in expected objective value. Simultaneous perturbation stochastic approximation (SPSA) algorithm employed optimizer all levels. model using simplified network. Smart clustering techniques applied systematically select an ensemble realizations representative each level. tested Brugge benchmark case study with maximum liquid limit via A comparative analysis performed investigate impact optimal strategy. Results demonstrate ignoring constraints, multiple levels optimization, results sub-optimal scenario, highlighting significance proposed robust management.