Pregled bibliografske jedinice broj: 1034036
Use of Ant-tracking attribute and combined seismic volumes for fault identification: A case study from Sava depression
Use of Ant-tracking attribute and combined seismic volumes for fault identification: A case study from Sava depression // 6. Hrvatski geološki kongres - Knjiga sažetaka / Horvat, Marija ; Matoš, Bojan ; Wacha, Lara (ur.).
Zagreb: Hrvatski geološki institut, 2019. str. 152-152 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1034036 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Use of Ant-tracking attribute and combined seismic volumes for fault identification: A case study from Sava depression
Autori
Orešković, Jasna ; Šimičević, Filipa
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
6. Hrvatski geološki kongres - Knjiga sažetaka
/ Horvat, Marija ; Matoš, Bojan ; Wacha, Lara - Zagreb : Hrvatski geološki institut, 2019, 152-152
Skup
6. hrvatski geološki kongres s međunarodnim sudjelovanjem
Mjesto i datum
Zagreb, Hrvatska, 09.10.2019. - 12.10.2019
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
fault detection, ant-tracking, variance attribute
Sažetak
During seismic interpretation, faults are usually defined through multi-trace seismic attributes such as variance, coherency, similarity, curvature, dip etc. The ant-tracking attribute available in the Schlumberger Petrel software performs edge enhancement and uses a series of seismic attributes to identify and track faults through 3D seismic volume (PEDERSEN et al., 2002). It requires complex processing of input data (usually variance or chaos attribute) and selection of parameters during calculation. The ant-tracking process and its advantages are presented on the example of the Ježevo field in the Sava depression. In this study Structural smoothing has been applied to reduce noise and enhance the lateral continuity of seismic data. Than, smoothed seismic data were converted to variance and chaos attribute since these attributes are sensitive to faults. A set of parameters used in ant tracking workflow depends on the goal of investigation, and in this study various combinations of parameters were tested until a satisfactory image was obtained. It shows that the variance attribute as an input for ant tracking is more suitable for delineating major faults than the chaos attribute. Also, seismic calculator has been used to generate virtual volumes combined from original seismic data and variance as well as chaos attribute. Also ant tracking has been used to combine with original seismic data, but it didn’t improve the fault interpretation, unlike combined variance volume which gives more sharp image.
Izvorni jezik
Engleski
Znanstvena područja
Rudarstvo, nafta i geološko inženjerstvo
POVEZANOST RADA
Ustanove:
Rudarsko-geološko-naftni fakultet, Zagreb
Profili:
Jasna Orešković
(autor)