@article{MottaghySchellschmidtPopovetal.2005,
  author    = {Mottaghy, Darius and Schellschmidt, R. and Popov, Y. A. and Clauser, C. and Kukkonen, I. T. and Nover, G. and Milanovsky, S. and Romushkevich, R. A.},
  title     = {New heat flow data from the immediate vicinity of the Kola super-deep borehole: Vertical variation in heat flow density confirmed and attributed to advection},
  series = {Tectonophysics},
  volume    = {401},
  journal   = {Tectonophysics},
  number    = {1-2},
  issn      = {1879-3266},
  doi       = {10.1016/j.tecto.2005.03.005},
  pages     = {119 -- 142},
  year      = {2005},
  language  = {en}
}
@inproceedings{ZieglerSchuellerMottaghy2013,
  author    = {Ziegler, M. and Sch{\"u}ller, R. and Mottaghy, Darius},
  title     = {Numerical simulation of energy consumption of artificial ground freezing applications subject to water seepage},
  series = {Proceedings of the 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris 2013},
  booktitle = {Proceedings of the 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris 2013},
  pages     = {2985 -- 2988},
  year      = {2013},
  language  = {en}
}
@article{MottaghyPechnig2009,
  author    = {Mottaghy, Darius and Pechnig, Renate},
  title     = {Numerische 3D Modelle zur Temperaturvorhersage und Reservoirsimulationen},
  series = {BBR - Fachmagazin f{\"u}r Brunnen- und Leitungsbau},
  volume    = {60},
  journal   = {BBR - Fachmagazin f{\"u}r Brunnen- und Leitungsbau},
  number    = {10},
  pages     = {44 -- 51},
  year      = {2009},
  language  = {de}
}
@article{BaierMottaghyZiegleretal.2008,
  author    = {Baier, C. and Mottaghy, Darius and Ziegler, M. and Rath, V.},
  title     = {Numerische Simulation des Gefrierprozesses bei der Baugrundvereisung im durchstr{\"o}mten Untergrund},
  series = {Bauingenieur},
  volume    = {83},
  journal   = {Bauingenieur},
  number    = {2},
  issn      = {0005-6650},
  pages     = {49 -- 60},
  year      = {2008},
  language  = {de}
}
@inproceedings{DuranParedesMottaghyHerrmannetal.2020,
  author    = {Duran Paredes, Ludwin and Mottaghy, Darius and Herrmann, Ulf and Groß, Rolf Fritz},
  title     = {Online ground temperature and soil moisture monitoring of a shallow geothermal system with non-conventional components},
  series = {EGU General Assembly 2020},
  booktitle = {EGU General Assembly 2020},
  year      = {2020},
  abstract  = {We present first results from a newly developed monitoring station for a closed loop geothermal heat pump test installation at our campus, consisting of helix coils and plate heat exchangers, as well as an ice-store system. There are more than 40 temperature sensors and several soil moisture content sensors distributed around the system, allowing a detailed monitoring under different operating conditions.In the view of the modern development of renewable energies along with the newly concepts known as Internet of Things and Industry 4.0 (high-tech strategy from the German government), we created a user-friendly web application, which will connect the things (sensors) with the open network (www). Besides other advantages, this allows a continuous remote monitoring of the data from the numerous sensors at an arbitrary sampling rate.Based on the recorded data, we will also present first results from numerical simulations, taking into account all relevant heat transport processes.The aim is to improve the understanding of these processes and their influence on the thermal behavior of shallow geothermal systems in the unsaturated zone. This will in turn facilitate the prediction of the performance of these systems and therefore yield an improvement in their dimensioning when designing a specific shallow geothermal installation.},
  language  = {en}
}
@article{MottaghySchwambornRath2013,
  author    = {Mottaghy, Darius and Schwamborn, G. and Rath, V.},
  title     = {Past climate changes and permafrost depth at the Lake El'gygytgyn site: implications from data and thermal modeling},
  series = {Climate of the Past},
  volume    = {9},
  journal   = {Climate of the Past},
  number    = {1},
  publisher = {Copernicus},
  address   = {Katlenburg-Lindau},
  issn      = {1814-9332},
  doi       = {10.5194/cp-9-119-2013},
  pages     = {119 -- 133},
  year      = {2013},
  language  = {en}
}
@article{KuertenMottaghyZiegler2014,
  author    = {K{\"u}rten, Sylvia and Mottaghy, Darius and Ziegler, Martin},
  title     = {Planung, Auslegung und Dimensionierung von thermo-aktiven Bauteilen am Beispiel thermo-aktiver Abdichtungselemente},
  series = {Geothermie, Bohr- und Brunnentechnik},
  journal   = {Geothermie, Bohr- und Brunnentechnik},
  publisher = {Ernst \& Sohn},
  address   = {Berlin},
  pages     = {18 -- 20},
  year      = {2014},
  language  = {de}
}
@article{VogtMottaghyWolfetal.2010,
  author    = {Vogt, C. and Mottaghy, Darius and Wolf, A. and Rath, V. and Pechnig, R. and Clauser, C.},
  title     = {Reducing temperature uncertainties by stochastic geothermal reservoir modelling},
  series = {Geophysical Journal International},
  volume    = {181},
  journal   = {Geophysical Journal International},
  number    = {1},
  publisher = {Oxford University Press},
  address   = {Oxford},
  issn      = {1365-246X},
  doi       = {10.1111/j.1365-246X.2009.04498.x},
  pages     = {321 -- 333},
  year      = {2010},
  abstract  = {Quantifying and minimizing uncertainty is vital for simulating technically and economically successful geothermal reservoirs. To this end, we apply a stochastic modelling sequence, a Monte Carlo study, based on (i) creating an ensemble of possible realizations of a reservoir model, (ii) forward simulation of fluid flow and heat transport, and (iii) constraining post-processing using observed state variables. To generate the ensemble, we use the stochastic algorithm of Sequential Gaussian Simulation and test its potential fitting rock properties, such as thermal conductivity and permeability, of a synthetic reference model and—performing a corresponding forward simulation—state variables such as temperature. The ensemble yields probability distributions of rock properties and state variables at any location inside the reservoir. In addition, we perform a constraining post-processing in order to minimize the uncertainty of the obtained distributions by conditioning the ensemble to observed state variables, in this case temperature. This constraining post-processing works particularly well on systems dominated by fluid flow. The stochastic modelling sequence is applied to a large, steady-state 3-D heat flow model of a reservoir in The Hague, Netherlands. The spatial thermal conductivity distribution is simulated stochastically based on available logging data. Errors of bottom-hole temperatures provide thresholds for the constraining technique performed afterwards. This reduce the temperature uncertainty for the proposed target location significantly from 25 to 12 K (full distribution width) in a depth of 2300 m. Assuming a Gaussian shape of the temperature distribution, the standard deviation is 1.8 K. To allow a more comprehensive approach to quantify uncertainty, we also implement the stochastic simulation of boundary conditions and demonstrate this for the basal specific heat flow in the reservoir of The Hague. As expected, this results in a larger distribution width and hence, a larger, but more realistic uncertainty estimate. However, applying the constraining post-processing the uncertainty is again reduced to the level of the post-processing without stochastic boundary simulation. Thus, constraining post-processing is a suitable tool for reducing uncertainty estimates by observed state variables.},
  language  = {en}
}
@article{KellerRathBruckmannetal.2020,
  author    = {Keller, Johannes and Rath, Volker and Bruckmann, Johanna and Mottaghy, Darius and Clauser, Christoph and Wolf, Andreas and Seidler, Ralf and B{\"u}cker, H. Martin and Klitzsch, Norbert},
  title     = {SHEMAT-Suite: An open-source code for simulating flow, heat and species transport in porous media},
  series = {SoftwareX},
  volume    = {12},
  journal   = {SoftwareX},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {2352-7110},
  doi       = {10.1016/j.softx.2020.100533},
  pages     = {9},
  year      = {2020},
  abstract  = {SHEMAT-Suite is a finite-difference open-source code for simulating coupled flow, heat and species transport in porous media. The code, written in Fortran-95, originates from geoscientific research in the fields of geothermics and hydrogeology. It comprises: (1) a versatile handling of input and output, (2) a modular framework for subsurface parameter modeling, (3) a multi-level OpenMP parallelization, (4) parameter estimation and data assimilation by stochastic approaches (Monte Carlo, Ensemble Kalman filter) and by deterministic Bayesian approaches based on automatic differentiation for calculating exact (truncation error-free) derivatives of the forward code.},
  language  = {en}
}
@article{RathMottaghy2007,
  author    = {Rath, V. and Mottaghy, Darius},
  title     = {Smooth inversion for ground surface temperature histories: estimating the optimum regularization parameter by generalized cross-validation},
  series = {Geophysical Journal International},
  volume    = {171},
  journal   = {Geophysical Journal International},
  number    = {3},
  issn      = {1365-246X},
  doi       = {10.1111/j.1365-246X.2007.03587.x},
  pages     = {1440 -- 1448},
  year      = {2007},
  language  = {en}
}