Lithology prediction in the subsurface using artificial neural networks on well and seismic data – a stochastic approach (CROSBI ID 676393)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Cvetković, Marko ; Kamenski, Ana ; Kolenković Močilac, Iva ; Rukavina, David ; Saftić, Bruno
engleski
Lithology prediction in the subsurface using artificial neural networks on well and seismic data – a stochastic approach
Analysis of lithology and lithology related variables in the subsurface is a key component in exploration of subsurface. The conventional way is to use different mapping algorithms to determine the properties in the inter well area based solely on well data or using seismic explorations (attribute analysis ; Radovich & Oliveros, 1998) in order to reduce uncertainty. Artificial Neural networks are also used for this purpose but more as a deterministic approach than a stochastic one (Brcković et al., 2017). For this purpose, a small volume of subsurface in the SW part of Pannonian Basin, representing an old small oil field which is covered by 3D seismic and several wells was selected. The artificial neural networks were first trained on a seismic attribute set belonging to the well traces and afterword the prediction was performed in the inter-well volume using 100 trained networks. The final result was obtained by P90 values of the categorical values that represent different lithologies. By this way the uncertainty of the lithology prediction in the inter well area has been significantly reduced, especially in this case where to few well point data were available to provide a variogram model for conventional deterministic and stochastic approaches.
Artificial neural networks, stochastics, lithology, subsurface
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Podaci o prilogu
28-28.
2019.
objavljeno
Podaci o matičnoj publikaciji
Abstracts book of the GEOMATES 2019
Gabor Hatvani, Istvan ; Tanos, Peter ; Fedor, Ferenc
Pečuh: Hungarian Academy of Sciences (MTA)
978-963-7068-11-9
Podaci o skupu
International Congress on Geomathematics in Earth- and Environmental Sciences (GEOMATES 2019)
predavanje
16.05.2019-18.05.2019
Pečuh, Mađarska