Compact Formulations for Efficient Early-Phase Field Development Optimization of Multi-Reservoir Fields

Abstract

A compact formulation has been developed to efficiently optimize early-stage field development planning of multi-reservoir fields. The proposed formulation is a mixed-integer linear programming model which employs piecewise-linear functions to approximate the model non-linearities. The project economic value is maximized by optimizing the production allocation and the drilling schedule. The field production profiles are estimated with production potential curves calculated from simulated data of an integrated reservoir and surface facilities model. The novelties of this work are: a scalable model for the well combination selection, a logarithmic piecewise-linear model to approximate the well production potential curves, and the modeling and solution of realistic field development optimization problems. Through simulation analysis of a real field case study, the logarithmic and standard SOS2 formulations are compared in terms of computational performance and accuracy. The results show that the logarithmic formulation has significantly reduced the computational time and achieved improved accuracy over SOS2.