Field development optimization with stochastic gradient method: application to a multi-reservoir carbonate field in the Middle East

Field development planning activities involve decisions that entail multi-billion-dollar investments. Making right design choices is crucial to the techno-economic success of the project. In this paper we demonstrate how state-of-the-art numerical model-based optimization techniques can support asset teams in this complex decision-making process...

A self-organizing base station sleeping and user association strategy for dense cellular networks

Due to the rising concerns of energy consumption in wireless networks, base station (BS) sleeping strategies were introduced to save energy in low traffic scenarios. In this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem representing...

Fair User Equilibrium in a Transportation Space-Time Network

User Equilibrium in a Transportation Space-Time Network

We provide a method to obtain a User Equilibrium in a transportation network, in which we transport containers for multiple agents. The User Equilibrium solution is defined as the solution wherein each agent can travel via their cheapest paths possible, and no agent is harmed by the route choice of other agents. The underlying model used is the...

Data-driven policy making: The policy lab approach

Blocking Orthogonal Designs With Mixed Integer Linear Programming

We present a mixed integer linear programming approach to orthogonally block two-level, multilevel, and mixed-level orthogonal designs. The approach involves an exact optimization technique which guarantees an optimal solution. It can be applied to many problems where combinatorial methods for blocking orthogonal designs cannot be used. By means...