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@PHDTHESIS{Boissere:1022300,
author = {Boisserée, Simon Melchior},
othercontributors = {Bachmayr, Markus and Moulas, Evangelos and Thomas, Marita},
title = {{S}pace-time adaptive methods for poroviscoelastic flow
models},
school = {RWTH Aachen University},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2025-09929},
pages = {1 Online-Ressource : Illustrationen},
year = {2025},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2026; Dissertation, RWTH Aachen University, 2025},
abstract = {In this work we consider a system of equations that arises
in geophysics when modeling subsurface flows of water,
magma, or gases such as CO2 in a poroviscoelastic medium. We
start by deriving the model equations in terms of porosity
and effective pressure before transforming them into a
nondimensional form. Furthermore, we state two simplified
models directly arising from the full viscoelastic model,
namely the viscous limit and low-porosity approximation. We
demonstrate that the analysis for the full model and the
low-porosity approximation can be unified due to a
transformation of variables, implying that it only remains
to show well-posedness for the viscous limit as a separate
case. We define a notion of solution that includes
discontinuous porosity distributions as they often occur in
nature at the interface between sedimentary layers. We
proceed by proving well-posedness of the viscoelastic model
and the viscous limit. We mainly follow the idea of
combining a fixed-point iteration for the porosity equation
with regularity theory for the equation modeling the
effective pressure. With this strategy, it turns out that in
the viscous limit a result allowing very general
discontinuous initial porosity distributions only follows if
we restrict ourselves to one- and two-dimensional domains.
However, by assuming that the initial porosity has a bounded
total variation and by using a compactness argument for
sequences of approximate solutions, we obtain existence of
solutions also in arbitrary dimensions. This includes all
practically relevant cases of discontinuous initial porosity
distributions. For the viscoelastic model, we use a similar
fixed-point argument as before. Here, we can prove existence
and uniqueness of solutions for discontinuous initial
porosity distributions, but only by assuming certain Hölder
regularity of the shape of the discontinuities as well as
Hölder smoothness of the initial functions away from the
discontinuities. Using the same fixed-point formulation as
before, we introduce an adaptive space-time method to solve
the viscoelastic model numerically. This method can also be
modified slightly to cover the viscous limit as well.
Furthermore, we prove convergence and a posteriori error
bounds for this approach. Then, we present some numerical
tests for geophysically relevant problem settings. For these
tests, we show numerically that our methods generate
quasi-optimal approximations of the corresponding analytical
solutions, independent of the presence of a discontinuity.
As a geophysical application, we discuss the coupling of our
method with a chemical transport problem since it provides
new insights into the formation of chemical anomalies,
which, for example, can lead to the formation of ore
deposits in the Earth's subsurface. Then, we briefly discuss
other possible space-time adaptive approaches to solving the
model problem. Next, we compare our approach with a finite
difference scheme, where it turns out that this method only
reaches low convergence rates for discontinuous porosity
distributions. Finally, we show some further advantages of
space-time methods for solving related inverse problems. We
present two different approaches that attempt to invert a
simplified model problem.},
cin = {111410 / 110000},
ddc = {510},
cid = {$I:(DE-82)111410_20170801$ / $I:(DE-82)110000_20140620$},
pnm = {DFG project G:(GEPRIS)442047500 - SFB 1481: Sparsity und
singuläre Strukturen (442047500)},
pid = {G:(GEPRIS)442047500},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2025-09929},
url = {https://publications.rwth-aachen.de/record/1022300},
}