Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network

Real-Time Optimization under Uncertainty Applied to a Gas Lifted Well Network

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 systems efficiently and maximize the revenue. Typically, mathematical models are used to find the optimal operation in such processes. However, such prediction models are subject to uncertainty that has bee...

Decomposing the optimization of a gas lifted oil well network

Low pressure oil wells can be made to flow by the injection of gas into the well. The resulting flow from the well increases discontinuously with the amount of gas injected. A common way to model this is by introducing integer variables which results in a MINLP formulation. Such a problem can be solved efficiently by a specialised Branch & Bound code. However for more than about 200 wells a com...

Optimization Under Uncertainty Applied to Heat Sink Design

Optimal Well Placement Under Uncertainty Using a Retrospective Optimization Framework

This paper (SPE 141950) was accepted for presentation at the SPE Reservoir Simulation Symposium, The Woodlands, Texas, USA, 21–23 February 2011, and revised for publication. Original manuscript received for review 15 December 2010. Revised manuscript received for review 12 May 2011. Paper peer approved 15 July 2011. Summary Subsurface geology is highly uncertain, and it is necessary to account ...

Real-Time Kinematic Network of Tehran, from Design to Application

Following the request of the Tehran municipality and in order to provide the spatial information required in their various projects, a real-time kinematic network has been designed for Tehran. Based on the existing measures such as the dilution of precision at the network point positions, two different designs have been proposed. A minimum number of six GNSS stations are used in both of the pro...