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Erschienen in: Rock Mechanics and Rock Engineering 12/2019

11.07.2019 | Original Paper

Numerical Modeling of Discrete Fractures in a Field-Scale FORGE EGS Reservoir

verfasst von: Azadeh Riahi, Will Pettitt, Branko Damjanac, Varun, Derrick Blanksma

Erschienen in: Rock Mechanics and Rock Engineering | Ausgabe 12/2019

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Abstract

The response of the Fallon FORGE geothermal reservoir to hydraulic stimulation is modeled numerically to aid the conceptual design of the well geometries and completions. The numerical modeling approach is based on (a) a full hydro-mechanical coupling; and (b) explicit representation of a discrete fracture network (DFN). The reservoir-scale model has a core region of 1500 × 1200 × 1200 m3 volume around the positions of conceptual sub-horizontal well designs at the Fallon FORGE site. It contains relevant geological structure and a fracture network constructed and simplified using borehole data. Stimulation was modeled in six stages/zones along the horizontal well using both openhole (low injection rate at 5 kg/s) and cased borehole (combination of high, 80 kg/s, and low injection rates) completions to test the effectiveness of hydraulic fracturing combined with hydro-shearing. The reservoir stimulation in the two models was analyzed and quantitatively assessed. Results indicate that the Fallon FORGE site is well suited for an EGS by multi-staged hydraulic stimulation using sub-horizontal wells. The conclusion is based on the evaluation of potential for fracture slip and aperture increase as functions of induced pressure changes and the orientations of the natural joints relative to the regional principal stresses. Advantages and limitations of explicit representation of the DFN in the numerical models are presented and discussed.

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Metadaten
Titel
Numerical Modeling of Discrete Fractures in a Field-Scale FORGE EGS Reservoir
verfasst von
Azadeh Riahi
Will Pettitt
Branko Damjanac
Varun
Derrick Blanksma
Publikationsdatum
11.07.2019
Verlag
Springer Vienna
Erschienen in
Rock Mechanics and Rock Engineering / Ausgabe 12/2019
Print ISSN: 0723-2632
Elektronische ISSN: 1434-453X
DOI
https://doi.org/10.1007/s00603-019-01894-6

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