@article{MottaghyPechnigVogt2011,
  author    = {Mottaghy, Darius and Pechnig, Renate and Vogt, Christian},
  title     = {The geothermal project Den Haag: 3D numerical models for temperature prediction and reservoir simulation},
  series = {Geothermics},
  volume    = {40},
  journal   = {Geothermics},
  number    = {3},
  publisher = {Elsevier},
  address   = {Amsterdam},
  issn      = {0375-6505},
  doi       = {10.1016/j.geothermics.2011.07.001},
  pages     = {199 -- 210},
  year      = {2011},
  abstract  = {The proposed Den Haag Zuidwest district heating system of the city of The Hague consists of a deep doublet in a Jurassic sandstone layer that is designed for a production temperature of 75 °C and a reinjection temperature of 40 °C at a flow rate of 150 m3 h-1. The prediction of reservoir temperature and production behavior is crucial for success of the proposed geothermal doublet. This work presents the results of a study of the important geothermal and geohydrological issues for the doublet design. In the first phase of the study, the influences of the three-dimensional (3D) structures of anticlines and synclines on the temperature field were examined. A comprehensive petrophysical investigation was performed to build a large scale 3D-model of the reservoir. Several bottomhole temperatures (BHTs), as well as petrophysical logs were used to calibrate the model using thermal conductivity measurements on 50 samples from boreholes in different lithological units in the study area. Profiles and cross sections extracted from the calculated temperature field were used to study the temperature in the surrounding areas of the planned doublet. In the second phase of the project, a detailed 3D numerical reservoir model was set up, with the aim of predicting the evolution of the producer and injector temperatures, and the extent of the cooled area around the injector. The temperature model from the first phase provided the boundary conditions for the reservoir model. Hydraulic parameters for the target horizons, such as porosity and permeability, were taken from data available from the nearby exploration wells. The simulation results are encouraging as no significant thermal breakthrough is predicted. For the originally planned location of the producer, the extracted water temperature is predicted to be around 79 °C, with an almost negligible cooling in the first 50 years of production. When the producer is located shallower parts of the reservoir, the yield water temperatures is lower, starting at ≈76 °C and decreasing to ≈74 °C after 50 years of operation. This comparatively larger decrease in temperature with time is caused by the structural feature of the reservoir, namely a higher dip causes the cooler water to easily move downward. In view of the poor reservoir data, the reservoir simulation model is constructed to allow iterative updates using data assimilation during planned drilling, testing, and production phases. Measurements during an 8 h pumping test carried out in late 2010 suggest that a flow rate of 150 m3 h-1 is achievable. Fluid temperatures of 76.5 °C were measured, which is very close to the predicted value.},
  language  = {en}
}
@incollection{MottaghyMajorowiczRath2009,
  author    = {Mottaghy, Darius and Majorowicz, Jacek and Rath, Volker},
  title     = {Ground Surface Temperature Histories Reconstructed from Boreholes in Poland: Implications for Spatial Variability},
  series = {The Polish Climate in the European Context: An Historical Overview},
  booktitle = {The Polish Climate in the European Context: An Historical Overview},
  publisher = {Springer Science+Business Media},
  address   = {Dordrecht},
  isbn      = {978-90-481-3167-9},
  doi       = {10.1007/978-90-481-3167-9_17},
  pages     = {375 -- 387},
  year      = {2009},
  language  = {en}
}
@article{MottaghyVosteenSchellschmidt2008,
  author    = {Mottaghy, Darius and Vosteen, Hans-Dieter and Schellschmidt, R{\"u}diger},
  title     = {Temperature dependence of the relationship of thermal diffusivity versus thermal conductivity for crystalline rocks},
  series = {International Journal of Earth Sciences},
  volume    = {97},
  journal   = {International Journal of Earth Sciences},
  number    = {2},
  issn      = {1437-3262},
  doi       = {10.1007/s00531-007-0238-3},
  pages     = {435 -- 442},
  year      = {2008},
  language  = {en}
}
@article{KrebsbachSchillerBrunneretal.2006,
  author    = {Krebsbach, M. and Schiller, C. and Brunner, D. and G{\"u}nther, G. and Hegglin, M. I. and Mottaghy, Darius and Riese, M. and Spelten, N. and Wernli, H.},
  title     = {Seasonal cycles and variability of O_3 and H_2O in the UT/LMS during SPURT},
  series = {Atmospheric Chemistry and Physics},
  volume    = {6},
  journal   = {Atmospheric Chemistry and Physics},
  number    = {1},
  doi       = {10.5194/acp-6-109-2006},
  pages     = {109 -- 125},
  year      = {2006},
  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}
}
@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{MottaghyRath2006,
  author    = {Mottaghy, Darius and Rath, Volker},
  title     = {Latent heat effects in subsurface heat transport modelling and their impact on palaeotemperature reconstructions},
  series = {Geophysical Journal International},
  volume    = {164},
  journal   = {Geophysical Journal International},
  number    = {1},
  issn      = {1365-246X},
  doi       = {10.1111/j.1365-246X.2005.02843.x},
  pages     = {236 -- 245},
  year      = {2006},
  language  = {en}
}
@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}
}