Quantifying incremental value in mature fields using unconventional high resolution modelling workflows, supported by field analogues from Myanmar

M. Bentley

Research output: Contribution to conferencePaperpeer-review

Abstract

Decision-making in mature fields requires us to adjust our workflows. Modelling for understanding ('truth models') is advocated as an alternative to full-field history matching exercises and aligns neatly with the current interest in Machine Learning. Examples from modelling analogues will be shown and application to Central Myanmar, a region with many mature fields with remaining locked-in value, will be discussed.

Original languageEnglish
DOIs
Publication statusPublished - 2019
Event2nd EAGE-VPI Conference on Reservoir Geoscience 2019 - Hanoi, Viet Nam
Duration: 2 Dec 20193 Dec 2019

Conference

Conference2nd EAGE-VPI Conference on Reservoir Geoscience 2019
Abbreviated titleRESGEO 2019
Country/TerritoryViet Nam
CityHanoi
Period2/12/193/12/19

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Geology

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