The use of S-guided CREP methodology for advanced seismic structure enhancing processing

• Autorzy: Zaręba Mateusz , Laskownicka Anna , Zając Jerzy

Identyfikatory

DOI

10.1007/s11600-019-00314-1

• Języki publikacji: EN

Abstrakty

EN

To acquire refined seismic targets, the use of more accurate and more precise methods of seismic signal processing is crucial. Novel seismic processing approach is even more important in case of the complex geology of mountainous regions (e.g., Carpathians, Carpathian Foredeep) where sub-vertical layering of varying rock complex can be found, but also in case of old seismic data reprocessing (especially when the signal-to-noise ratio and general quality are low). Regardless of many research papers and significant progress in seismic processing techniques, a properly processed and interpreted seismic image is still hardly affordable for this region. Obtaining a new value in seismic data processing is a core function of the presented research. The use of dip-guided filtering combined with beam partitioned analysis and Z-domain dip analysis for reprocessing of 3D and 2D seismic data from the Carpathians region has been studied.

Słowa kluczowe

EN

seismic processing; image processing; Carpathians; seismic resolution; coherency enhancement

PL

przetwarzanie sejsmiczne; przetwarzanie obrazu; Karpaty; rozdzielczość sejsmiczna; poprawa spójności

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2019
• Tom: Vol. 67, no. 6
• Strony: 1711--1719
• Opis fizyczny: Bibliogr. 33 poz.

Twórcy

autor

Zaręba Mateusz

• R&D Department of Seismic Signal Processing Center, GK Processing, Balice, Kraków, Poland
• The Faculty of Geology, Geophysics and Environmental Protection, AGH UST, Kraków, Poland

autor

Laskownicka Anna

• R&D Department of Seismic Signal Processing Center, GK Processing, Balice, Kraków, Poland

autor

Zając Jerzy

• R&D Department of Seismic Signal Processing Center, GK Processing, Balice, Kraków, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).