Combining Linear Programming with Material Balance Analytical Model for Oil Reservoir Management Optimization

The Oil and Gas industry is one of the most relevant sectors in the global economy. The reservoir management is responsible for forecasting production, monitoring field variables and operational control of wells. This article proposes the implementation of a linear programming model for well control within an analytical material balance reservoir model. The chosen approach aims to maximize production by controlling the average reservoir pressure while subject to the operational capacities of the production system. Additionally, an iterative method for smoothing the well curves is proposed and a detailed presentation of the experimental results is provided, highlighting the model's ability to generate robust solutions for reservoir management.