Schemes for automatic history matching of reservoir modeling: A case of Nelson oilfield in UK

Alireza Kazemi*, Karl D. Stephen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


Schemes for automatic history matching of reservoir modeling are studied for the Nelson oilfield in the Central North Sea. A complete workflow of automatic history matching involves selection of reservoir variables that require modification and parameter updating schemes, automatic history matching, data analysis, and combination of the best results to obtain an ensemble of best reservoir models. Automatic history matching of Nelson field is conducted using production and time-lapse seismic data, with global single-variable approach, regional multi-variable approach and local multi-variable approach as updating schemes, net to gross, horizontal and vertical permeability as updating parameters. It is revealed that local multi-variable approach can effectively improve history matched results by reducing the number of simulation models, saving computing time and increasing the simulation precision. Global single-variable approach is only a suitable parameter updating scheme for cases where the history matching parameters are independent. Regional multi-variable approach is suitable for the cases where there is strong dependency between properties chosen for updating, and there are wells very close together with strong interaction. Local multi-variable approach is very useful when the history matching parameters are dependent but each selected region for updating is independent of others.

Original languageEnglish
Pages (from-to)349-361
Number of pages13
JournalPetroleum Exploration and Development
Issue number3
Publication statusPublished - Jun 2012
Externally publishedYes


  • Automatic history matching
  • Misfit
  • Parameter updating scheme
  • Reservoir simulation
  • Time-lapse (4D) history matching

ASJC Scopus subject areas

  • Geotechnical Engineering and Engineering Geology
  • Energy Engineering and Power Technology
  • Geology
  • Geochemistry and Petrology
  • Economic Geology

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