Journal
COMPUTATIONAL GEOSCIENCES
Volume 22, Issue 3, Pages 833-849Publisher
SPRINGER
DOI: 10.1007/s10596-018-9728-6
Keywords
Hydraulic fracturing; Phase field; Genetic algorithm; Production maximization; History matching
Funding
- U.S. Department of Energy, National Energy Technology Laboratory [DOE FG02-04ER25617]
- NSF [NSF 1546553]
- National Research Foundation of Korea (NRF) [NRF-2017R1C1B5017767, NRF-2017K2A9A1A01092734]
- National Research Foundation of Korea [2017R1C1B5017767] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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.
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