The closed-loop reservoir management technique enables a dynamic and real-time optimal
production schedule under the existing reservoir conditions to be achieved by adjusting the …

This paper presents some key operational challenges in the upstream petroleum industries
in which advanced control and model-based optimization has or may have a significant …

The optimization of general oilfield development problems is considered. Techniques are
presented to simultaneously determine the optimal number and type of new wells, the …

Real-time optimization (RTO) is an established technology, where the process economics
are optimized using rigourous steady-state models. However, a fundamental limiting factor …

We develop a multi-level decision making approach for optimal condition-based
maintenance planning of a railway network divided into a large number of sections with …

In this work, we consider the problem of daily production optimization in the upstream oil and
gas domain. The objective is to find the optimal decision variables that utilize the production …

Distributed real-time optimization (RTO) enables optimal operation of large-scale process
systems with common resources shared across several clusters. Typically in distributed …

Using piecewise linear (PWL) functions to model discrete data has applications for example
in healthcare, engineering and pattern recognition. Recently, mixed-integer linear …

Due to their flexibility and ability to incorporate non-linear relationships, Mixed-Integer Non-
Linear Programming (MINLP) approaches for optimization are commonly presented as a …

The main objective of this paper is to determine the optimal placement of oilfield producer
wells while accounting for surface infrastructure constraints. To accomplish this objective, we …