TY - CHAP AU - Kilik, Roland AU - Ilyés, Csaba ED - Szabó, Norbert Péter ED - Virág, Zoltán István TI - Klaszter és leíró statisztika elemzés közel 1500 éves vízszint adatsoron T2 - Új eredmények a műszaki föld- és környezettudományban 2023 PB - Miskolci Egyetem Műszaki Föld- és Környezettudományi Kar CY - Miskolc-Egyetemváros SN - 9789633583104 PY - 2023 SP - 318 EP - 328 PG - 11 UR - https://m2.mtmt.hu/api/publication/34417431 ID - 34417431 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Szabó, Norbert Péter AU - Ilyés, Csaba AU - Turai, Endre AU - Dobróka, Mihály AU - Kilik, Roland AU - Miklós, Rita AU - Hemida, Mohamed Hamdy Eid AU - Szűcs, Péter TI - Fourier Transformation and Unsupervised Learning for Extracting Hydrogeological Information from Time Series Data T2 - 14th IEEE International Conference on Cognitive Infocommunications PB - IEEE CY - Piscataway (NJ) SN - 9798350325652 PY - 2023 SP - 19 EP - 24 PG - 6 DO - 10.1109/CogInfoCom59411.2023.10397478 UR - https://m2.mtmt.hu/api/publication/34157605 ID - 34157605 LA - English DB - MTMT ER - TY - JOUR AU - Szabó, Norbert Péter AU - Kilik, Roland AU - Dobróka, Mihály TI - Robust reservoir identification by multi-well cluster analysis of wireline logging data JF - HELIYON J2 - HELIYON VL - 9 PY - 2023 IS - 5 PG - 17 SN - 2405-8440 DO - 10.1016/j.heliyon.2023.e15957 UR - https://m2.mtmt.hu/api/publication/33796838 ID - 33796838 N1 - Cited By :1 Export Date: 31 January 2024 Correspondence Address: Szabó, N.P.; Institute of Exploration Geosciences, Hungary; email: norbert.szabo@uni-miskolc.hu LA - English DB - MTMT ER - TY - GEN AU - Szabó, Norbert Péter AU - Kilik, Roland AU - Dobróka, Mihály TI - Identification of hydrocarbon reservoirs by robust cluster analysis. Inverziós Ankét 2022 konferencia TS - Inverziós Ankét 2022 konferencia PY - 2022 UR - https://m2.mtmt.hu/api/publication/33379109 ID - 33379109 N1 - konferencia előadás LA - English DB - MTMT ER - TY - JOUR AU - Szűcs, Péter AU - Turai, Endre AU - Mádai, Viktor AU - Vass, Péter AU - Miklós, Rita AU - Zákányi, Balázs Zsolt AU - Ilyés, Csaba AU - Fekete, Zsombor AU - Kilik, Roland AU - Móricz, Ferenc AU - Nyiri, Gábor AU - Szilvási, Marcell AU - Szabó, Norbert Péter TI - Innovation in assessment of the geothermal energy potential of abandoned hydrocarbon wells in the southern and southeastern foreground of the Bükk Mountains, northeast Hungary JF - HYDROGEOLOGY JOURNAL J2 - HYDROGEOL J VL - 30 PY - 2022 IS - 8 SP - 2267 EP - 2284 PG - 18 SN - 1431-2174 DO - 10.1007/s10040-022-02560-y UR - https://m2.mtmt.hu/api/publication/33231981 ID - 33231981 AB - 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. LA - English DB - MTMT ER - TY - CHAP AU - Zákányi, Balázs Zsolt AU - Szűcs, Péter AU - Turai, Endre AU - Ilyés, Csaba AU - Fekete, Zsombor AU - Nyiri, Gábor AU - Miklós, Rita AU - Mádai, Viktor AU - Móricz, Ferenc AU - Szilvási, Marcell AU - Kilik, Roland AU - Vass, Péter ED - Szigyártó, I-L ED - Szikszai, A TI - A BÜKK-HEGYSÉG KÖRNYÉKÉN FELHAGYOTT SZÉNHIDROGÉN KUTAK INNOVATÍV ÉRTÉKELÉSE GEOTERMIKUS ENERGIA HASZNOSÍTÁSRA T2 - XVII. Kárpát-medencei Környezettudományi Konferencia PB - Ábel Kiadó C1 - Kolozsvár T3 - Kárpát-Medencei Környezettudományi Konferencia, ISSN 1842-9815 PY - 2022 SP - 175 EP - 180 PG - 6 UR - https://m2.mtmt.hu/api/publication/32787873 ID - 32787873 LA - English DB - MTMT ER - TY - CONF AU - Szűcs, Péter AU - Turai, Endre AU - Zákányi, Balázs Zsolt AU - Ilyés, Csaba AU - Fekete, Zsombor AU - Kilik, Roland AU - Mádai, Viktor AU - Móricz, Ferenc AU - Nyiri, Gábor AU - Szilvási, Marcell AU - Vass, Péter TI - Complex evaluation of abandoned hydrocarbon wells for geothermal use in North Hungary T2 - Proceedings World Geothermal Congress 2020+1 PY - 2021 SP - 1251 EP - 1257 PG - 7 UR - https://m2.mtmt.hu/api/publication/32470599 ID - 32470599 LA - English DB - MTMT ER - TY - JOUR AU - Kilik, Roland TI - Histogram-based weighted median filtering used for noise reduction of digital elevation model data JF - ACTA GEODAETICA ET GEOPHYSICA J2 - ACTA GEOD GEOPHYS VL - 99 PY - 2021 SP - 1 EP - 22 PG - 22 SN - 2213-5812 DO - 10.1007/s40328-021-00356-2 UR - https://m2.mtmt.hu/api/publication/32169419 ID - 32169419 AB - 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. LA - English DB - MTMT ER - TY - JOUR AU - Kilik, Roland TI - Applying iterative median-based filtering method for enhancing catchment area models JF - MŰSZAKI FÖLDTUDOMÁNYI KÖZLEMÉNYEK J2 - MŰSZAKI FÖLDTUDOMÁNYI KÖZLEMÉNYEK VL - 89 PY - 2020 IS - 1 SP - 357 EP - 363 PG - 7 SN - 2063-5508 UR - https://m2.mtmt.hu/api/publication/31704609 ID - 31704609 N1 - "A cikkben/előadásban/tanulmányban ismertetett kutató munka az EFOP-3.6.1-16-2016-00011 jelű „Fiatalodó és Megújuló Egyetem – Innovatív Tudásváros – a Miskolci Egyetem intelligens szakosodást szolgáló intézményi fejlesztése” projekt részeként – a Széchenyi 2020 keretében – az Európai Unió támogatásával, az Európai Szociális Alap társfinanszírozásával valósul meg" = “The described article/presentation/study was carried out as part of the EFOP-3.6.1-16-00011 “Younger and Renewing University – Innovative Knowledge City – institutional development of the University of Miskolc aiming at intelligent specialisation” project implemented in the framework of the Szechenyi 2020 program. The realization of this project is supported by the European Union, co-financed by the European Social Fund.” LA - English DB - MTMT ER - TY - CHAP AU - Kilik, Roland ED - Szabó, Norbert Péter ED - Papp, Richárd Zoltán TI - Iteratív medián-alapú szűrési eljárás alkalmazása vízgyűjtő területi modellek javítására T2 - Doktoranduszok Fóruma: Miskolc, 2019. november 21: Műszaki Földtudományi Kar szekciókiadványa PB - Miskolci Egyetem Tudományos és Nemzetközi Rektorhelyettesi Titkárság CY - Miskolc-Egyetemváros SN - 9789633582145 PY - 2020 SP - 43 EP - 51 PG - 9 UR - https://m2.mtmt.hu/api/publication/31340131 ID - 31340131 LA - Hungarian DB - MTMT ER -