We are pleased to announce that our first seismic image quality enhancement (S.I.Q.E.) algorithm has been successfully applied in the Azeri-Chirag-Gunashli (ACG) and Shah Deniz (SD) fields located in the South Caspian Basin. The interest in these fields is that they have a large number of wells that allow you to check the performance of the S.I.Q.E. methodology. At the same time, it is important to note that both fields have different seismic qualities and also that various data acquisition methods were used in their collection. Specifically, towed streamer for the ACG field and ocean bottom seismic for the SD field.

In general, we can highlight the key facts from the obtained results. Quantitatively, the high-frequency components were seen to be enhanced over various time intervals. On average, the outcomes have 15 Hz more frequency bandwidth compared to the initial cubes. At the time, an increase in the signal-to-noise ratio of 35% was observed. As a result of the enhancement of the high-frequency components and broadening of the bandwidth, there is also an increase in the dominant frequency values of 56% and, consequently, an increase in resolution of 38%. These results were obtained within a few weeks in comparison to traditional methods, which require several months.

Due to the large availability of well data, various analyses were carried out. One of which demonstrated a good match of seismic events between synthetic seismic data and enhanced seismic volumes. This indicates that the observed seismic events are consistent with the actual logging data. In parallel, comparisons were made with the vertical seismic profile (VSP) data, which led to similar conclusions. Finally, statistical analysis showed a better fit between the seismic responses interpreted from the enhanced seismic volume and the geological units determined using a standard set of well logs from drilled wells and consistent assumptions.