## 4 Results and Discussion
### AVO Analysis
Moreover, the top D, top D + 49, and top D34/36 intervals on the seismic section which was penetrated by I-8 well area showed as a blue color or negative values, which was interpreted as a sand area. It showed a decrease value in SQp attribute at the top of the sand and an increase at the base. Based on the application of the new attribute on the seismic scale, SQp AVO attribute provided high sensitivity in differentiating the facies. Another latest applied AVO attribute was SQs attribute. Figure 14 showed the application of SQs AVO attribute in differentiating hydrocarbon composition. SQs attribute from the seismic scale was compared to log responses e.g., hydrocarbon saturation. Based on the seismic section, top D+49 and top D34/36 intervals, which were penetrated by I-8 well were classified as the gas sand reservoir. The top gas sands were identified as the AVO class three. The gas accumulation showed an orange color or negative value. The extraction of this attribute generated the best way to show AVO anomaly, and its values was ranging from\(-0.8\) to \(0.9\). Moreover, it was integrated with the log responses, which showed that both intervals were identified as gas sand intervals. In the log scale, these two intervals gave the high hydrocarbon saturation values. Based on the application of the new AVO attribute, SQs attribute provided the best indicator of fluid separation. Figure 12: The methods comparison between Scaled Poisson’s Ratio, SQp, and SQs attributes, (**a**) Well log 13 and I-8 showed that top D34/36 was a gas sand interval, (**b**) Scaled Poisson’s Ratio attribute slice could not capture a gas sand interval in well I-3, (**c**) SQp attribute slice gave better resolution, which could capture sand area at well I-3. The sand interval was figured as blue color, and (**d**) SQs attribute gave better resolution which could capture a gas sand area at well I-3. The gas sand interval was figured as orange color. Figure 13: Application of SQp attribute to distinguish facies. (**a**) Seismic section which was penetrated by I-8 well log showed that the sand area was interpreted as a blue color. The red circle was top D, the blue circle was the top D+49, and the green circle was the top D34/36. These circles illustrated the consistency result between SQp attribute application and density characteristic for facies prediction, (**b**) SQp attribute slice for Top D zone. The red circle was the sand area for Dinterval, which was penetrated by I-8 log. (**c**) seismic attribute slice for top D+49 ms zone. The blue circle was the sand area for D+49 interval, which was penetrated by I-8 log. and (**d**) seismic attribute for top D34/36 zone. The green circle was the sand area for D34/36 interval, which was penetrated by I-8 log. Figure 14: Application of scale of quality factor of S-wave (SQs) attribute to distinguish fluid distribution. (a) Seismic intersection which was penetrated by I-8 well log showed that the gas zone identified as an orange color. The red circle was top D + 49 while the blue circle was top D34/36. These circles illustrated the consistency result between SQs attribute application and hydrocarbon saturation log responses for the hydrocarbon prediction, (b) seismic attribute slice for Top D + 49 ms zone. The red circle was the gas sand area for top D + 49, which was penetrated by I-8 log, and (c) seismic attribute slice for the top D34/36 zone. The blue circle was the gas sand area for top D34/36, which was penetrated by the I-8 log.