Penyu Basin is a complex, intracratonic basin, situated on the northern Sunda Shelf. This basin formed during Oligocene, and geological setting of this area is a typical Southeast Asian Tertiary rift system. An oil discovery has been made in X-Block of Penyu Basin. However, it was relinquished in 2006 due to the non-commercial oil discovery. X-Block consists of mostly monoclinal structures that do not seem to provide an efficient trapping mechanism because of the very low reliefs. Three wells have been drilled in X-Block and tested primarily on the structural traps, mainly the basement drape structures. This research aims to analyze the stratigraphic traps, focusing on channel features. This is done with the aid from seismic geomorphology. This method helps examine buried landforms by using seismic data as a tool. By seismic geomorphology study, several channel features can be recognized. Most of the channels can be found in upper and middle part of the seismic section. As going deeper to the bottom section, only lineaments of faults are visible. In the upper part of the seismic section, straight and long channel features can be observed and as moving downwards, the channel sinuosity increases resulting in meandering channel. From this seismic geomorphology study, it confirms that there are channel systems in X-Block of Penyu Basin.

After a half century of exploration, the Malay Basin, a mature hydrocarbon province in SE Asia, faces common challenge that most of the conventional structural reservoirs have been drilled out. As a result, the high-risk stratigraphic traps are considered as viable alternative to boost the dwindling oil reserves. In Y field, the discovery of Early Miocene Group I meander belt channel sands outside the low-relief anticlinal closure is seemed to have made substantial contributions to the later oil production. This sparks the inspiration to develop a practical workflow in visualizing the subtle, yet productive channel systems through integration of multidisciplinary datasets. Results have proven that the co-rendering of multi-attributes could effectively delineate the channel edges and reflection strength of sand bodies. Moreover, through the application of neural network techniques on the extracted waveform shape of seismic attribute, a supervised hierarchical lithofacies map was generated. This can help to create a better linkage between the seismic waveform patterns and lithological details of subsurface features. Wireline log analysis was also performed to verify the hydrocarbon potential of Group I sands. This integrated approach may adopted as a reliable best practice in near-field exploration program, especially in proving up the channel-sand stratigraphic play.