Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7148

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Author: search.filters.author.Erol, SelcukHas files: Yes

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  • Article
    Citation - WoS: 1
    Citation - Scopus: 1
    Petrogenesis and Comprehensive Thermal Assessment of the Dikili-Bergama Region, Western Anatolia
    (Pergamon-elsevier Science Ltd, 2025) Ayzit, Tolga; Erol, Selcuk; Baba, Alper
    Various methods are available to evaluate the thermal properties and energy potential of geothermal fields. The heat flow method is crucial for thermal modeling and understanding geological evolution. It helps to assess the impact of geological formations on various processes, including hydrocarbon generation and structural modeling. This study focuses on the Dikili-Bergama geothermal region and presents heat flow trends based on thermal modeling. The analysis of volcanic rock petrogenesis data and a thermal model are presented based on data from deep and shallow boreholes. The geothermal gradient is found to vary between 66.28 degrees C km-1 and 121.68 degrees C km-1, according to the interpolated data. Additionally, the study investigates the geochemical and lithological properties of magmatic rocks in the Dikili-Bergama region. The Kozak pluton group's has been measured to have radioactive heat production of up to 7.4 mu Wm-3. Thermal conductivity properties and correlations, along with heat flow assessment, contribute to the understanding of geothermal potential. The mean dry thermal conductivity of the rocks in the study area is 2.33 Wm-1K-1. The data for the terrestrial heat flow and the radioactive heat flow values are up to 200 mWm-2. The integration of 3D geological models and thermal models has highlighted the south western area of the study as a promising location for unconventional geothermal operations.
  • Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Bayesian Uncertainty Quantification in Temperature Simulation of Borehole Heat Exchanger Fields for Geothermal Energy Supply
    (Pergamon-Elsevier Science Ltd, 2025) Mohammadi, Hesam Soltan; Ringel, Lisa Maria; Bott, Christoph; Erol, Selcuk; Bayer, Peter
    Accurate temperature prediction is crucial for optimizing the performance of borehole heat exchanger (BHE) fields. This study introduces an efficient Bayesian approach for improving the forecast of temperature changes in the ground caused by the operation of BHEs. The framework addresses the complexities of multi-layer subsurface structures and groundwater flow. By utilizing an affine invariant ensemble sampler, the framework estimates the distribution of key parameters, including heat extraction rate, thermal conductivity, and Darcy velocity. Validation of the proposed methodology is conducted through a synthetic case involving four active and one inactive BHE over five years, using monthly temperature changes around BHEs from a detailed numerical model as a reference. The moving finite line source model with anisotropy is employed as the forward model for efficient temperature approximations. Applying the proposed methodology at a monthly resolution for less than three years reduces uncertainty in long-term predictions by over 90%. Additionally, it enhances the applicability of the employed analytical forward model in real field conditions. Thus, this advancement offers a robust tool for stochastic prediction of thermal behavior and decision-making in BHE systems, particularly in scenarios with complex subsurface conditions and limited prior knowledge.