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

doi:10.1007/s10596-018-9728-6

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

Department of Climate and Energy Systems Engineering

Research output: Contribution to journal › Article › peer-review

32 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 language	English
Pages (from-to)	833-849
Number of pages	17
Journal	Computational Geosciences
Volume	22
Issue number	3
DOIs	https://doi.org/10.1007/s10596-018-9728-6
State	Published - 1 Jun 2018

Bibliographical note

Funding Information:
Funding information The research by S. Lee, B. Min, and M. F. Wheeler were funded by the U.S. Department of Energy, National Energy Technology Laboratory grant DOE FG02-04ER25617. S. Lee and M. F. Wheeler were partially supported by NSF grant NSF 1546553. B. Min was funded by the National Research Foundation of Korea (NRF) grants (No. NRF-2017R1C1B5017767, No. NRF-2017K2A9A1A01092734).

Publisher Copyright:
© 2018, Springer International Publishing AG, part of Springer Nature.

Keywords

Genetic algorithm
History matching
Hydraulic fracturing
Phase field
Production maximization

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Cite this

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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.",

keywords = "Genetic algorithm, History matching, Hydraulic fracturing, Phase field, Production maximization",

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

Abstract

Bibliographical note

Keywords

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