Department of Geophysical Imaging

Miłosz Mężyk

PhD Student


Research interests:

  • Seismic Processing
  • Crustal-Scale Imaging
  • Artificial Intelligence (Machine Learning and Deep Learning)


Peer-reviewed scientific papers:

  • Mężyk, M., Malinowski, M., Mazur, S., 2021. Structure of a diffuse suture between Fennoscandia and Sarmatia in SE Poland based on regional reflection seismic profiles and unsupervised clustering. Precambrian Research 358. doi:10.1016/j.precamres.2021.106176
  • Mężyk, M., Chamarczuk, M., Malinowski, M., 2021. Automatic image-based event detection for large-N seismic arrays using a convolutional neural network. Remote Sensing, 13(3), 389. doi:10.3390/rs13030389
  • Mężyk, M., Malinowski, M., Mazur, S., 2019. Imaging the East European Craton margin in northern Poland using extended correlation processing of regional seismic reflection profiles. Solid Earth 10, 683–696. doi:10.5194/se-10-683-2019
  • Mężyk, M., Malinowski, M., 2019. Multi-pattern algorithm for first-break picking employing open-source machine learning libraries. Journal of Applied Geophysics 170. doi:10.1016/j.jappgeo.2019.103848
  • Chamarczuk, M., Malinowski, M., Nishitsuji, Y., Thorbecke, J., Koivisto, E.A., Heinonen, S., Juurela, S., Mężyk, M., Draganov, D., 2019. Automatic 3D illumination-diagnosis method for large- N arrays: Robust data scanner and machine-learning feature provider. Geophysics 84(5), 1-48. doi:10.1190/geo2018-0504.1
  • Dupuy, B., Torres, V. A., Ghaderi, A., Querendez, E., Mężyk, M., 2017. Constrained AVO for CO2 Storage Monitoring at Sleipner. Energy Procedia 114, 3927-3936. doi:10.1016/j.egypro.2017.03.1524

Extended abstracts:

  • Mężyk, M., Malinowski, M., 2020. Deep Embedded Clustering as a Seismic Attribute: A Case Study of 2D Crustal-Scale Interpretation. In: 82nd EAGE Conference and Exhibition, EAGE Expanded Abstracts. doi:10.3997/2214-4609.202010681
  • Mężyk, M., Malinowski, M., 2018. Deep Neural Network and Multi-pattern Based Algorithm for Picking First-arrival Traveltimes. In: 80th EAGE Conference and Exhibition, EAGE Expanded Abstracts. doi:10.3997/2214-4609.202010681