Optimisation of Petroleum Production Well Placement under Geological Uncertainty

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract / Description of output

Large investments are required for the positioning and drilling of oil and gas wells, implying that decisions related to these activities may be significantly aided by sound and proven mathematical-oriented methods. The use of intuitive engineering judgement alone cannot guarantee sustainable profitability over long periods, especially under geological (reservoir model) uncertainty. To capture significant uncertainty sources in the subsurface geology of the reservoir considered in this study, geostatistical model realisations are obtained using available information (permeabilities and porosities). We use specialised algorithms of the MATLAB Reservoir Simulation Toolbox (MRST, interfaced with PETREL™) in order to determine optimal petroleum production well locations and production rates and thus maximise the field oil recovery. The developed computational workflow has been applied to a realistic case study, for which robust optimality is demonstrated using the worst-case realisation for determining optimal well locations.
Original languageEnglish
Title of host publicationComputer Aided Chemical Engineering
Subtitle of host publication30th European Symposium on Computer Aided Process Engineering
EditorsSauro Pierucci, Flavio Manenti, Giulia Luisa Bozzano, Davide Manca
Number of pages6
ISBN (Print)1570-7946
Publication statusPublished - 19 Oct 2020
Event30th European Symposium on Computer Aided Process Engineering - Online, Milan, Italy
Duration: 31 Aug 20202 Sept 2020

Publication series

NameComputer Aided Chemical Engineering
ISSN (Print)1570-7946


Conference30th European Symposium on Computer Aided Process Engineering
Abbreviated titleESCAPE 30
Internet address

Keywords / Materials (for Non-textual outputs)

  • Production optimisation
  • optimal well placement
  • geological uncertainty


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