Browsing by Subject "Q factor"

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Access status: Restricted ,
Aplikacja inwersji Q do zdjęcia sejsmicznego 3D – ocena efektywności
(Data obrony: 2011-07-18) Badora, Damian
Wydział Geologii, Geofizyki i Ochrony Środowiska
In the study area of Duza Wolka, 3D a seismic survey was carried out, and in the center of this area Vertical Seismic Profiling in the hole S - 421A was taken. The seismic data received from Zechstein interval are characterized by low frequencies. This is caused by attenuation tracks of Triassic rocks. Vertical Seismic Profiling, namely the registered downgoing wave, allows to determine attenuation characteristics of the medium. Based on the analysis of downgoing wave, Q factor for each layer was estimated and then Q inverse filter for the two seismic profiles was applied, these profiles crossing well S – 421A was selected from 3D seismic survey. The aim of inversion application was to improve seismic data quality, especially timewindow (750 – 1300 ms). Improving of seismic data quality based on the vertical resolution increasing. In this case better resolution may be obtained by increasing the amplitude spectrum in high frequencies pass.
Access status: Open Access ,
Application of inverse Q filtering for improvement of seismic resolution in the Zechstein formation (SW Poland)
(Wydawnictwa AGH, 2013) Król, Monika; Cichostępski, Kamil; Dec, Jerzy; Pietsch, Kaja
Seismic wave attenuation has strong, negative effect on the seismic data resolution. The high influence of this phenomenon was observed during realization of seismic survey »Duża Wólka 3D« (Geofizyka Kraków S.A. 2010a). The resolution of recorded seismic data was very low due to high attenuation caused by the Lower Triassic Buntsandstein sandstones. In consequence, interpretation of the thin-layered Zechstein formation is ambiguous. The aim of this paper is to present the multi-stage algorithm for the purpose of minimizing the attenuation effect, hence increasing the resolution of the seismic data. In order to achieve this, the inverse Q filtering process was used. The Q factor (quality factor) was estimated from the vertical seismic profiling data (Geofizyka Kraków S.A. 2010c). To verify the effectiveness of inverse Q filtering, seismic modelling was performed. Results received from seismic modelling gave basis for application the inverse Q filtering on real data. For this operation the seismic time profile inline 112 was chosen from the seismic data set »Duża Wólka 3D«. Application of inverse Q filtering significantly increased the seismic resolution, which enabled the interpretation of the Zechstein formation with more accuracy.