Optimal design of hydraulic fracturing in porous media using the phase field fracture model coupled with genetic algorithm

Sanghyun Lee, Baehyun Min, Mary F. Wheeler

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

We present a framework for the coupling of fluid-filled fracture propagation and a genetic inverse algorithm for optimizing hydraulic fracturing scenarios in porous media. Fracture propagations are described by employing a phase field approach, which treats fracture surfaces as diffusive zones rather than of interfaces. Performance of the coupled approach is provided with applications to numerical experiments related to maximizing production or reservoir history matching for emphasizing the capability of the framework.

Original languageEnglish
Pages (from-to)833-849
Number of pages17
JournalComputational Geosciences
Volume22
Issue number3
DOIs
StatePublished - 1 Jun 2018

Keywords

  • Genetic algorithm
  • History matching
  • Hydraulic fracturing
  • Phase field
  • Production maximization

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