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<p>Dear colleagues, </p>
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<p>You are very welcome to contribute to our session "<b>Data-driven
digital twins of the subsurface</b>" at the upcoming <b>GeoBerlin
2023</b> (3-8 Sept). <br>
</p>
<p>We would appreciate if you can help us spread this information
within your networks.</p>
<p>Thank you very much in advance!<br>
</p>
<p>Judith <br>
</p>
<p>[On behalf of the conveners team]<br>
</p>
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<div align="center"><font
style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-caps:small-caps"><b><img
src="cid:part1.8g161YyQ.f4SRmANd@gfz-potsdam.de" alt=""
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<font
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</b></font><font
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color="#0f75ac"><b><span
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aria-selected="true"><span
class="actAsPara">4.7 Data-driven digital twins of the subsurface and
their
applications </span></span></span></span></span></b></font>
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<td
style="padding:0.5cm
0.25cm"
bgcolor="#ffffff">Dear
colleague,<br>
<p>We would like<font
face="Arial"> to
cordially invite
you to submit an
abstract to the
<b>session 4.7</b>
in the frame of
the <b>GeoBerlin
2023</b>
conference.</font></p>
<p><font
face="Arial">Here,
you will have
the opportunity
of presenting a
<b>talk</b> or a
<b>poster</b>.</font></p>
<p><font
face="Arial">Each
abstract will
have a DOI and
will be
published in the
<b>DGGV media
library</b>.<br>
</font></p>
<p>Additionally,
students can take
part on the <b><span
id="u54653-57">students'
best poster
award!</span></b></p>
<p align="center"><font
color="#146287"><b>Abstract
submission
deadline</b><b
style="font-size:10.5pt">: Wednesday, 3 May 2023</b></font></p>
<p
style="line-height:
35px;"
align="center"><a style="background:rgb(0,115,152);font-size:12pt;text-decoration-line:none;padding:0.15cm
1cm" target="_blank" moz-do-not-send="true" href="https://protect-au.mimecast.com/s/PddDCmO5glupj37qYiGbl4g?domain=geoberlin2023.de"><b><font
color="white">More
information</font></b></a></p>
Looking forward to
your contributions,<br>
<br>
<div align="center"><span
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data-ibe-flags="txtStyleSrc"><span
class="actAsPara" id="u56058-11"><span id="u56058">Ángela María
Gómez-García,</span></span></span></span></span></span></span><span
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data-muse-uid="U56058" data-muse-type="txt_frame"
data-ibe-flags="txtStyleSrc"><span
class="actAsPara" id="u56058-11"><span id="u56058-3"> Judith Bott, Ajay
Kumar,</span></span></span></span></span></span></span><span
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</span></span></span></span></span></span></span></div>
<div align="center"><span
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data-muse-uid="U56058" data-muse-type="txt_frame"
data-ibe-flags="txtStyleSrc"><span
class="actAsPara" id="u56058-11"><span id="u56058-5">Magdalena
Scheck-Wenderoth and Mikhail Tsypin.</span><span id="u56058-6"></span><span
id="u56058-7"><br>
</span></span></span></span></span></span></span></div>
<p
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align="center"><font
color="#146287"><b>Session
description</b></font><br>
</p>
<span
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id="u56089"><span
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data-ibe-flags="txtStyleSrc"><span
class="actAsPara">Subsurface utilization and the assessment of
associated
potential
seismic hazard
require robust
knowledge of
the rock
physical
properties, as
well as the
processes
controlling
state
variables,
pressure and
temperature,
from reservoir
to
lithospheric
scale. The
interpretation
of subsurface
observations
is often
non-unique due
to the scarce
data or
inherent
non-linearity.
Integration of
different
types of data
(e.g.,
geological,
well-log,
active and
passive
seismic,
potential
field, GNSS,
InSAR data)
and their
joint
inversion
allows to
narrow down
the solution
space, and
help to build
robust and
reliable
models of the
solid Earth,
useful for
process
simulations
and
predictions
beyond the
spatiotemporal
restrictions
of direct
observations.<br>
<br>
The data
integration
process,
however, is
challenging.
Direct
relationships
between
different
physical
properties are
mostly
empirical,
realistic
models are
complex, and
inversions
(including
sensitivity
tests) are
computationally
expensive.
Such
data-driven
integrative
digital twins
of the
subsurface are
the basis for
various
studies
targeted at,
for instance,
geothermal
energy,
groundwater
utilization,
energy and
waste storage,
mining, and
even
fundamental
geodynamic
questions.
With this
session, we
would like to
bring together
people from
various
disciplines to
exchange their
experience in
across-scales
data
integration
methods and
resulting
applications.
In particular,
we invite
contributions
that present
multidisciplinary
data
management and
visualization
software, as
well as
innovative
methods for
joint
inversion and
interpretation.</span><span class="actAsPara"></span></span></span></span></span></span></td>
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