Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Regression-based reduced-order models to predict transient thermal
  output for enhanced geothermal systems   The goal of this paper is to assess the utility of Reduced-Order Models
(ROMs) developed from 3D physics-based models for predicting transient thermal
power output for an enhanced geothermal reservoir while explicitly accounting
for uncertainties in the subsurface system and site-specific details. Numerical
simulations are performed based on Latin Hypercube Sampling (LHS) of model
inputs drawn from uniform probability distributions. Key sensitive parameters
are identified from these simulations, which are fracture zone permeability,
well/skin factor, bottom hole pressure, and injection flow rate. The inputs for
ROMs are based on these key sensitive parameters. The ROMs are then used to
evaluate the influence of subsurface attributes on thermal power production
curves. The resulting ROMs are compared with field-data and the detailed
physics-based numerical simulations. We propose three different ROMs with
different levels of model parsimony, each describing key and essential features
of the power production curves. ROM-1 is able to accurately reproduce the power
output of numerical simulations for low values of permeabilities and certain
features of the field-scale data, and is relatively parsimonious. ROM-2 is a
more complex model than ROM-1 but it accurately describes the field-data. At
higher permeabilities, ROM-2 reproduces numerical results better than ROM-1,
however, there is a considerable deviation at low fracture zone permeabilities.
ROM-3 is developed by taking the best aspects of ROM-1 and ROM-2 and provides a
middle ground for model parsimony. It is able to describe various features of
numerical simulations and field-data. From the proposed workflow, we
demonstrate that the proposed simple ROMs are able to capture various complex
features of the power production curves of Fenton Hill HDR system. For typical
EGS applications, ROM-2 and ROM-3 outperform ROM-1.

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The categories of this paper are: q-alg
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The categories of this paper are: dg-ga
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The categories of this paper are: plasm-ph
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The categories of this paper are: alg-geom
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The categories of this paper are: funct-an
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The categories of this paper are: quant-ph
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The categories of this paper are: ao-sci
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The categories of this paper are: hep-ex
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The categories of this paper are: nucl-ex
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The categories of this paper are: hep-lat
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The categories of this paper are: mtrl-th
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The categories of this paper are: nucl-th
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The categories of this paper are: cond-mat
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The categories of this paper are: atom-ph
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The categories of this paper are: q-bio
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The categories of this paper are: math-ph