GNGTS 2023 - Atti del 41° Convegno Nazionale

Session 3.3 ______ ___ GNGTS 2023 It is interesting to notice that DA can highlight elements at different resolution and with different geological meaning. For instance, while in Figure 2-b several horizons related to the main amplitudes are apparent, in Figure 2-c a general overview of main horizon is provided. Moreover, Figure 2-d and Figure 2-e provide a further distinction between the shallow lower velocity zone and the high velocity one in depth, with some slightly different details. Sleipner 4-D dataset The Sleipner 4-D Seismic dataset is a reference dataset from the Sleipner CO 2 storage site. Several seismic surveys have been performed at the storage site since 1994, when the first survey was completed before the commencement of fluid injection. This dataset contains seismic cubes from 1994 to 2010. In 2007 PGS performed a full reprocessing of 1994, 2001, 2004 and 2006 data sets collected with the same geometry, acquisition parameters, with an identical processing flow (Equinor, 2020). We applied the technique to the processed data cube from 2001 acquisition and we selected just a DA that enhances the strong reflection of the injection area. We applied the same trained NN on the data set of all the years from 1994 to 2006 to test the stability of the approach. A time slice showing some of the results is provided in Figure 3.