Applying an optimized proxy-based workflow for fast history matching

Mojtaba Karimi, Ali Mortazavi, Mohammad Ahmadi

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


History matching is still one of the main challenging parts of reservoir study especially in giant brown oil fields with lots of wells. In these cases, history matching with conventional manual technique needs many runs and takes months to get a match. In this work, an innovative approach was suggested for fast history matching in a real brown field. The workflow was employed based on an optimized proxy model for history matching of a field consisting of 14 active wells with multiple responses (which are production rate and pressure data) in the south part of Iran. The main important features of the proposed algorithm were defining a proxy model which is response surface method in which 21 model parameters were incorporated based on cubic centered face method. The proxy model was then optimized by one of the most famous algorithms which is genetic algorithm. Proxy model was successfully performed using 256 samples leading into p- value of 0.531 and R2 of 0.91 dataset. As a result, the proposed workflow and algorithm showed good and acceptable results for history matching of studied real model.

Original languageEnglish
Article number462
JournalArabian Journal of Geosciences
Issue number21
Publication statusPublished - Nov 1 2017
Externally publishedYes


  • Fast history matching
  • Genetic algorithm
  • Proxy model
  • Response surface method

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'Applying an optimized proxy-based workflow for fast history matching'. Together they form a unique fingerprint.

Cite this