Handling geological uncertainties across model ensembles: A large mature field example

R. Hutton, T. Buckle, V. Demyanov, D. Arnold, A. Antropov, E. Kharyba, M. Kostic, M. Pilipenko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

This study presents the application of an assisted history matching workflow to a large mature field, which utilises an ensemble of distinct geological scenarios to improve the total misfit by up to 22%. Inadequacies in history matching of this field, which is interpreted as a simple prograding delta deposit, have led to the expansion of modelling efforts at a mature stage of field production. An ensemble of models, which represent distinctly different geological scenarios is used to account for a larger range of geological uncertainty within the history matching workflow. The effective selection and modelling of these concepts has significantly improved on the total field misfit and provided a more robust platform for optimisation analysis for ongoing development.

Original languageEnglish
Title of host publication80th EAGE Conference and Exhibition 2018
Subtitle of host publicationOpportunities Presented by the Energy Transition
PublisherEAGE Publishing BV
ISBN (Electronic)9789462822542
Publication statusPublished - Jun 2018
Event80th EAGE Conference and Exhibition 2018 - Copenhagen, Denmark
Duration: 11 Jun 201814 Jun 2018
https://events.eage.org/en/2018/eage-annual-2018

Conference

Conference80th EAGE Conference and Exhibition 2018
CountryDenmark
CityCopenhagen
Period11/06/1814/06/18
Internet address

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geophysics

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