Optimisation of Intelligent Oil Wells using Stochastic Algorithms

Research output: Contribution to conferencePaper

Abstract

Oil production enhancement in intelligent fields is a nonlinear, high-dimension, conditional optimisation problem with a computationally expensive objective function. Stochastic estimated-gradient-based optimisation algorithms have proved to be an effective tool to solve this class of problems. Solutions to this challenging problem using the Simultaneous Perturbation Stochastic Approximation (SPSA) and Ensemble-based Optimisation (EnOpt) algorithms are evaluated and their performance compared for multiple case studies. Optimisation guidelines will also be provided.
Original languageEnglish
Publication statusPublished - Jul 2014
Event20th Conference of the International Federation of Operational Research Societies 2014 - , Spain
Duration: 13 Jul 201418 Jul 2014

Conference

Conference20th Conference of the International Federation of Operational Research Societies 2014
CountrySpain
Period13/07/1418/07/14

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