Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Application of a StoSAG Algorithm using a Modified Cost Function and Group Constraints in a Three-Phase Reservoir Model
Submission Author:
Marco Antonio Nobre Rangel de Almeida , DF
Co-Authors:
Marco Antonio Nobre Rangel de Almeida, Vinicius Rafael de Freitas, Emanuel Pereira Barroso Neto, cuellar sanchez, Eugenio Fortaleza, Rafael Valladares de Almeida
Presenter: Marco Antonio Nobre Rangel de Almeida
doi://10.26678/ABCM.COBEM2023.COB2023-1842
Abstract
Optimization algorithms are extremely important to performance and productivity of an oil and gas reservoir. Usually, the NPV function is the objective function to be maximized, which is evaluated by its calculation considering the production of the entire reservoir life. A modified NPV function was proposed to take into account not only the NPV but also the well degradation in the waterflooding optimization, allowing the development of a constructive optimization at each time step (prediction windows of reservoir simulation) using the Stochastic Simplex Approximated Gradient (StoSAG) algorithm. To extend this methodology to three-phase reservoir models, an alternative objective function is derived from NPV function. The optimization algorithm also considered multi-dimensional output constraints, such as well and group production rates that are handled by the reservoir simulator. The methodology is applied in a modified SPE9 field, whose wells are divided into two groups with constraints of gas group production and also well constraints. Results were obtained and compared from two simulations, one using the proposed method and the other under reactive control (RC), which resulted in the NPV of the StoSAG being 7% larger than the NPV of the RC with an acceptable number of reservoir simulations.
Keywords
Optimization, MNPV Cost Function, Group constraints, SPE9, StoSAG
