@inbook{MTMT:34417431,
	title = {Klaszter és leíró statisztika elemzés közel 1500 éves vízszint adatsoron},
	url = {https://m2.mtmt.hu/api/publication/34417431},
	author = {Kilik, Roland and Ilyés, Csaba},
	booktitle = {Új eredmények a műszaki föld- és környezettudományban 2023},
	unique-id = {34417431},
	year = {2023},
	pages = {318-328},
	orcid-numbers = {Ilyés, Csaba/0000-0002-5328-8023}
}

@inproceedings{MTMT:34157605,
	title = {Fourier Transformation and Unsupervised Learning for Extracting Hydrogeological Information from Time Series Data},
	url = {https://m2.mtmt.hu/api/publication/34157605},
	author = {Szabó, Norbert Péter and Ilyés, Csaba and Turai, Endre and Dobróka, Mihály and Kilik, Roland and Miklós, Rita and Hemida, Mohamed Hamdy Eid and Szűcs, Péter},
	booktitle = {14th IEEE International Conference on Cognitive Infocommunications},
	doi = {10.1109/CogInfoCom59411.2023.10397478},
	unique-id = {34157605},
	year = {2023},
	pages = {19-24},
	orcid-numbers = {Ilyés, Csaba/0000-0002-5328-8023; Dobróka, Mihály/0000-0003-3956-2070}
}

@article{MTMT:33796838,
	title = {Robust reservoir identification by multi-well cluster analysis of wireline logging data},
	url = {https://m2.mtmt.hu/api/publication/33796838},
	author = {Szabó, Norbert Péter and Kilik, Roland and Dobróka, Mihály},
	doi = {10.1016/j.heliyon.2023.e15957},
	journal-iso = {HELIYON},
	journal = {HELIYON},
	volume = {9},
	unique-id = {33796838},
	year = {2023},
	eissn = {2405-8440},
	orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070}
}

@misc{MTMT:33379109,
	title = {Identification of hydrocarbon reservoirs by robust cluster analysis. Inverziós Ankét 2022 konferencia},
	url = {https://m2.mtmt.hu/api/publication/33379109},
	author = {Szabó, Norbert Péter and Kilik, Roland and Dobróka, Mihály},
	unique-id = {33379109},
	year = {2022},
	orcid-numbers = {Dobróka, Mihály/0000-0003-3956-2070}
}

@article{MTMT:33231981,
	title = {Innovation in assessment of the geothermal energy potential of abandoned hydrocarbon wells in the southern and southeastern foreground of the Bükk Mountains, northeast Hungary},
	url = {https://m2.mtmt.hu/api/publication/33231981},
	author = {Szűcs, Péter and Turai, Endre and Mádai, Viktor and Vass, Péter and Miklós, Rita and Zákányi, Balázs Zsolt and Ilyés, Csaba and Fekete, Zsombor and Kilik, Roland and Móricz, Ferenc and Nyiri, Gábor and Szilvási, Marcell and Szabó, Norbert Péter},
	doi = {10.1007/s10040-022-02560-y},
	journal-iso = {HYDROGEOL J},
	journal = {HYDROGEOLOGY JOURNAL},
	volume = {30},
	unique-id = {33231981},
	issn = {1431-2174},
	abstract = {An innovative methodology is introduced to study abandoned oil exploration drillings for possible geothermal energy production at a test area in northeast Hungary. An evaluation method supported by robust statistical analysis was elaborated to provide the possible future investors with adequate technical and earth-science related information for their decision-making processes. All the available data of 161 abandoned hydrocarbon wells, with different physical conditions, were examined based on the proposed evaluation system to provide information about the geothermal energy potential for each well, as well as over a bigger area. The abandoned wells and their environments, the quantity of stored heat, and the fluid temperature and geothermal heat were the key parameters determined, which are critical when considering geothermal energy utilization or thermal water production. The maximum amount of stored energy was determined as the sum of the amount of energy extractable from the rock and the fluid. The heat stored in the rock was determined by basin modelling. The evaluation process, using one-dimensional (1D) basin modelling and 3D lithological-stratigraphic modelling, was successfully applied in the pilot area. The maximum amount of heat stored in the fluid can be determined by subtracting the heat stored in the rock from the total heat. Drilling and completing geothermal wells are rather expensive in Hungary, depending on the depth and the types of geological formations. The application of this research could greatly reduce the cost and risk of creating new geothermal energy systems based on production wells or abandoned wells in Hungary or elsewhere.},
	year = {2022},
	eissn = {1435-0157},
	pages = {2267-2284},
	orcid-numbers = {Zákányi, Balázs Zsolt/0000-0003-1848-2688; Ilyés, Csaba/0000-0002-5328-8023; Fekete, Zsombor/0000-0001-8754-8690; Szilvási, Marcell/0009-0000-4900-2654}
}

@inproceedings{MTMT:32787873,
	title = {A BÜKK-HEGYSÉG KÖRNYÉKÉN FELHAGYOTT SZÉNHIDROGÉN KUTAK INNOVATÍV ÉRTÉKELÉSE GEOTERMIKUS ENERGIA HASZNOSÍTÁSRA},
	url = {https://m2.mtmt.hu/api/publication/32787873},
	author = {Zákányi, Balázs Zsolt and Szűcs, Péter and Turai, Endre and Ilyés, Csaba and Fekete, Zsombor and Nyiri, Gábor and Miklós, Rita and Mádai, Viktor and Móricz, Ferenc and Szilvási, Marcell and Kilik, Roland and Vass, Péter},
	booktitle = {XVII. Kárpát-medencei Környezettudományi Konferencia},
	unique-id = {32787873},
	year = {2022},
	pages = {175-180},
	orcid-numbers = {Zákányi, Balázs Zsolt/0000-0003-1848-2688; Ilyés, Csaba/0000-0002-5328-8023; Fekete, Zsombor/0000-0001-8754-8690; Szilvási, Marcell/0009-0000-4900-2654}
}

@CONFERENCE{MTMT:32470599,
	title = {Complex evaluation of abandoned hydrocarbon wells for geothermal use in North Hungary},
	url = {https://m2.mtmt.hu/api/publication/32470599},
	author = {Szűcs, Péter and Turai, Endre and Zákányi, Balázs Zsolt and Ilyés, Csaba and Fekete, Zsombor and Kilik, Roland and Mádai, Viktor and Móricz, Ferenc and Nyiri, Gábor and Szilvási, Marcell and Vass, Péter},
	booktitle = {Proceedings World Geothermal Congress 2020+1},
	unique-id = {32470599},
	year = {2021},
	pages = {1251-1257},
	orcid-numbers = {Zákányi, Balázs Zsolt/0000-0003-1848-2688; Ilyés, Csaba/0000-0002-5328-8023; Fekete, Zsombor/0000-0001-8754-8690; Szilvási, Marcell/0009-0000-4900-2654}
}

@article{MTMT:32169419,
	title = {Histogram-based weighted median filtering used for noise reduction of digital elevation model data},
	url = {https://m2.mtmt.hu/api/publication/32169419},
	author = {Kilik, Roland},
	doi = {10.1007/s40328-021-00356-2},
	journal-iso = {ACTA GEOD GEOPHYS},
	journal = {ACTA GEODAETICA ET GEOPHYSICA},
	volume = {99},
	unique-id = {32169419},
	issn = {2213-5812},
	abstract = {A new histogram-based robust filter developed for noise reduction of digital elevation model data is presented. When large percentage of data points in data matrices are contaminated with outlier noise, the noise reduction process can give better results than traditional median filtering, if elements with a potentially higher chance of being noise are eliminated by weighting from the input dataset before the median value is calculated. However, on the same matrices, there are likely to be subsets of data where unfiltered input is more reasonable for the calculation. The new method implementing weighting between these two cases is presented below, with its initial tuning and a comparison with both standard median filtering and the Most Frequent Value (MFV) method, as the latter being much more efficient than the usual methods. Following the description of the procedures, their effectiveness is compared for noise reduction in digital elevation model data systems, at various noise levels. The comparison is done mainly by three measures, with most of the focus on the $${L}_{1}$$norm data distance results. Finally, a modified version of the method—which includes Steiner’s MFV filter as a core part—is also introduced, with similar examination. The method to be presented has been shown to be superior to conventional median filtering for most noise rates, and in many cases also to Steiner' MFV, for handling non-zero mean noises. The modified version of the method—with the help of Steiner's MFV—has also achieved this in handling zero mean noise, in the field of application described in the paper.},
	year = {2021},
	eissn = {2213-5820},
	pages = {1-22}
}

@article{MTMT:31704609,
	title = {Applying iterative median-based filtering method for enhancing catchment area models},
	url = {https://m2.mtmt.hu/api/publication/31704609},
	author = {Kilik, Roland},
	journal-iso = {MŰSZAKI FÖLDTUDOMÁNYI KÖZLEMÉNYEK},
	journal = {MŰSZAKI FÖLDTUDOMÁNYI KÖZLEMÉNYEK},
	volume = {89},
	unique-id = {31704609},
	issn = {2063-5508},
	year = {2020},
	pages = {357-363}
}

@inproceedings{MTMT:31340131,
	title = {Iteratív medián-alapú szűrési eljárás alkalmazása vízgyűjtő területi modellek javítására},
	url = {https://m2.mtmt.hu/api/publication/31340131},
	author = {Kilik, Roland},
	booktitle = {Doktoranduszok Fóruma: Miskolc, 2019. november 21: Műszaki Földtudományi Kar szekciókiadványa},
	unique-id = {31340131},
	year = {2020},
	pages = {43-51}
}