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|a E 1.99:1477764
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|a E 1.99:1477764
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|a Natural and Hydraulic Fracture Density Prediction and Identification of Controllers
|h [electronic resource]
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|a Washington, D.C. :
|b United States. Office of the Assistant Secretary of Energy for Fossil Energy ;
|a Oak Ridge, Tenn. :
|b distributed by the Office of Scientific and Technical Information, U.S. Department of Energy,
|c 2018.
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|a text
|b txt
|2 rdacontent.
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|a online resource
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|a Published through SciTech Connect.
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|a 07/24/2018.
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| 500 |
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|a Unconventional Resources Technology Conference held in Houston, Texas, USA, 23-25 July 2018.
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|a Whitney Campbell; Joe Wicker; James Courtier.
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|a Discrete Fracture Networks (DFN's) incorporated into hydraulic fracture modeling and reservoir simulation are typically constructed and calibrated to all available high-quality natural fracture data from image logs and core, which generally results in an extremely limited calibration data set. To extrapolate these data over large areas, more broadly sampled data sets, such as discontinuity-related 3-D seismic attributes are often used. Broad spatial trending methodologies can potentially misrepresent natural fracture systems through over-reliance on seismic attributes that are commonly influenced by noise. The Hydraulic Fracture Test Site (HFTS) provides a rare insight of the subsurface natural fracture network and controlling factors on fracture distribution from a mechanical and lithological standpoint. The physical occurrence of hydraulic fractures and their interaction and relationship to preexisting natural fractures can be predicted using analytical models. Such model outputs can be applied to provide higher confidence when developing DFN's.
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|b FE0024292.
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|a Gas Technology Institute.
|4 res.
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|a United States.
|b Office of the Assistant Secretary of Energy for Fossil Energy.
|4 spn.
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| 710 |
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|a United States.
|b Department of Energy.
|b Office of Scientific and Technical Information.
|4 dst.
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|u http://www.osti.gov/scitech/biblio/1477764
|z Online Access (via OSTI)
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|a .b104826149
|b 03-09-23
|c 05-17-19
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|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e E 1.99:1477764
|h Superintendent of Documents classification
|i web
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