TY - CHAP AU - Turainé Vurom, Brigitta AU - Szűcs, István AU - Dobróka, Mihály ED - Szabó, Norbert Péter ED - Virág, Zoltán István TI - Pressure dependence of elasticity parameters T2 - Új eredmények a műszaki föld- és környezettudományban 2024 PB - Miskolci Egyetem Műszaki Föld- és Környezettudományi Kar CY - Miskolc SN - 9789633583500 PY - 2024 SP - 126 EP - 135 PG - 10 UR - https://m2.mtmt.hu/api/publication/35615103 ID - 35615103 LA - English DB - MTMT ER - TY - CHAP AU - Dobróka, Mihály AU - Szabó, Norbert Péter ED - Cranganu, C TI - Well Log Analysis by Global Optimization-Based Interval Inversion Method T2 - Artificial Intelligent Approaches in Petroleum Geosciences PB - Springer Nature Switzerland CY - Berlin SN - 9783031527159 PY - 2024 SP - 233 EP - 255 PG - 23 DO - 10.1007/978-3-031-52715-9_9 UR - https://m2.mtmt.hu/api/publication/35166274 ID - 35166274 LA - English DB - MTMT ER - TY - JOUR AU - Dobróka, Tünde Edit AU - Szűcs, István AU - Dobróka, Mihály TI - Edge detection of tomographic images using traditional and Deep Learning tools JF - GEOSCIENCES AND ENGINEERING: A PUBLICATION OF THE UNIVERSITY OF MISKOLC J2 - GEOSCIENCES AND ENGINEERING VL - 12 PY - 2024 IS - 1 SP - 125 EP - 138 PG - 14 SN - 2063-6997 DO - 10.33030/geosciences.2024.01.009 UR - https://m2.mtmt.hu/api/publication/35135885 ID - 35135885 LA - English DB - MTMT ER - TY - CHAP AU - Turainé Vurom, Brigitta AU - Molnár, Judit AU - Dobróka, T. AU - Dobróka, Mihály AU - Nádasi, Endre AU - Szabó, Norbert Péter TI - A Quantitative Model to Describe the Hysteresis of P- and S Acoustic/Seismic Waves T2 - 85th EAGE Annual Conference & Exhibition (including the Workshop Programme) PB - European Association of Petroleum Geoscientists & Engineers CY - Bunnik SN - 9789462824980 PY - 2024 SP - 1 EP - 5 PG - 5 DO - 10.3997/2214-4609.2024101360 UR - https://m2.mtmt.hu/api/publication/34900352 ID - 34900352 LA - English DB - MTMT ER - TY - JOUR AU - Al Marashly, Omar AU - Dobróka, Mihály TI - Chebyshev polynomial-based Fourier transformation and it’s use in low pass filter of gravity data JF - ACTA GEODAETICA ET GEOPHYSICA J2 - ACTA GEOD GEOPHYS VL - 59 PY - 2024 IS - 2 SP - 159 EP - 181 PG - 23 SN - 2213-5812 DO - 10.1007/s40328-024-00444-z UR - https://m2.mtmt.hu/api/publication/34889369 ID - 34889369 AB - In this paper, we introduce the novel Chebyshev Polynomials Least-Squares Fourier Transformation (C-LSQ-FT) and its robust variant with the Iteratively Reweighted Least-Squares technique (C-IRLS-FT). These innovative techniques for Fourier transformation are predicated on the concept of inversion, and the C-LSQ-FT method establishes an overdetermined inverse problem within the realm of Fourier transformation. However, given the LSQ approach’s vulnerability to data outliers, we note the potential for considerable errors and potentially unrepresentative model estimations. To circumvent these shortcomings, we incorporate Steiner’s Most Frequent Value method into our framework, thereby providing a more reliable alternative. The fusion of the Iteratively Reweighted Least-Squares (IRLS) algorithm with Cauchy-Steiner weights enhances the robustness of our Fourier transformation process, culminating in the C-IRLS-FT method. We use Chebyshev polynomials as the basis functions in both methods, leading to the approximation of continuous Fourier spectra through a finite series of Chebyshev polynomials and their corresponding coefficients. The coefficients were obtained by solving an overdetermined non-linear inverse problem. We validated the performance of both the traditional Discrete Fourier Transform (DFT) and the newly developed C-IRLS-FT through numerical tests on synthetic datasets. The results distinctly exhibited the reduced sensitivity of the C-IRLS-FT method to outliers and dispersed noise, in comparison with the traditional DFT. We leveraged the newly proposed (C-IRLS-FT) technique in the application of low-pass filtering in the context of gravity data. The results corroborate the technique’s robustness and adaptability, making it a promising method for future applications in geophysical data processing. LA - English DB - MTMT ER - TY - JOUR AU - Szűcs, Péter AU - Dobróka, Mihály AU - Turai, Endre AU - Szarka, László Csaba AU - Ilyés, Csaba AU - Hemida, Mohamed Hamdy Eid AU - Szabó, Norbert Péter TI - Combined inversion and statistical workflow for advanced temporal analysis of the Nile River’s long term water level records JF - JOURNAL OF HYDROLOGY J2 - J HYDROL VL - 630 PY - 2024 PG - 24 SN - 0022-1694 DO - 10.1016/j.jhydrol.2024.130693 UR - https://m2.mtmt.hu/api/publication/34527979 ID - 34527979 LA - English DB - MTMT ER - TY - JOUR AU - Turainé Vurom, Brigitta AU - Dobróka, Tünde Edit AU - Dobróka, Mihály TI - Laboratóriumi akusztikussebesség- és jóságitényező-adatok együttes inverziója JF - MAGYAR GEOFIZIKA J2 - MAGYAR GEOFIZIKA VL - 64 PY - 2023 IS - 3 SP - 123 EP - 130 PG - 8 SN - 0025-0120 UR - https://m2.mtmt.hu/api/publication/34855220 ID - 34855220 AB - In order to explain the rock physical background of an extensively used empirical formula we present new rock-physical models describing the velocity-pressure and Quality factor-pressure dependences. Acoustic laboratory data for P-wave velocity and Quality factor were measured on a sandstone sample at 40 different pressures. The spectral ratio method was used to measure the Quality factor data utilizing an aluminum sample (with the size and geometry of the rock sample) as a reference. The measured velocity and Quality factor data were processed in independent and also in joint inversion procedures. The results showed that both the velocity–pressure and the Quality factor pressure dependence can be well-described utilizing the newly developed rock-physical model in forward modeling. © 2023 Magyar Geofizikusok Egyesülete. LA - Hungarian DB - MTMT ER - TY - JOUR AU - Turainé Vurom, Brigitta AU - Dobróka, Mihály TI - Determining the quality factor of sandstone using acoustic laboratory measurements JF - MULTIDISZCIPLINÁRIS TUDOMÁNYOK: A MISKOLCI EGYETEM KÖZLEMÉNYE J2 - MULTIDISZCIPLINÁRIS TUDOMÁNYOK VL - 13 PY - 2023 IS - 3 SP - 257 EP - 267 PG - 11 SN - 2062-9737 DO - 10.35925/j.multi.2023.3.25 UR - https://m2.mtmt.hu/api/publication/34450465 ID - 34450465 LA - English DB - MTMT ER - TY - JOUR AU - Turainé Vurom, Brigitta AU - Dobróka, Mihály TI - Joint inversion of laboratory-measured acoustic phase velocity and quality factor data JF - GEOSCIENCES AND ENGINEERING: A PUBLICATION OF THE UNIVERSITY OF MISKOLC J2 - GEOSCIENCES AND ENGINEERING VL - 12 PY - 2023 IS - 1 SP - 5 EP - 19 PG - 15 SN - 2063-6997 DO - 10.33030/geosciences.2024.01.001 UR - https://m2.mtmt.hu/api/publication/34413418 ID - 34413418 LA - English 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 - 2023 14th IEEE International Conference on Cognitive Infocommunications (CogInfoCom) PB - IEEE Hungary Section 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 -