A Distributed Optimization Strategy for Large Scale Oil and Gas Production Systems

Abstract

In this paper, we consider the problem of realtime optimization of an oil and gas production network. The production network is often made of several wells from different reservoir sections producing to a common processing facility. In this work, we exploit this spatial structure of the system and cast the production optimization problem into a distributed optimization problem and solve it using Lagrangian decomposition. We extend previous work on decomposition for static real-time production optimization problem by considering a dynamic real-time optimization problem. We demonstrate the applicability of the proposed method using a gas-lifted well network with shared resources and common capacity constraints.