3 research outputs found
2D Modeling of Subsurface Structures Based on Gravity Data of Mount Arjuno-Welirang
Indonesia is a country that has volcanoes stretching from west to east from Sumatra, Java to Sulawesi. Mount Arjuno-Welirang is a stratovolcano type volcano with an altitude of about 3,339 m (10,955) for Mount Arjuno while for Welirang it is about 3,156. Mount Arjuno-Welirang and its surroundings are composed by rocks sourced from Anjasmoro Volcano (Early Plistocene), Ringgit-Pundak-Butak Volcano (Middle Plistocene), Arjuno-Welirang Twin Volcanoes I and II (Late Plistocene), and Penanggungan Volcano. This research includes data processing and interpretation of the results of data processing. This research was conducted using geophysical methods, namely the gravity method. The theoretical basis used is Newton's Law. Data in the form of gravity data that has been downloaded on the Land Gravity Data Website which is then processed using Surfer software, then the Magpick Software Upward Continuation process is carried out. After that, the slicing process is carried out on the residual anomaly, then the slicing results will be used to interpret using Grav2DC Software qualitatively based on the geological map as a reference. The interpretation results on the A-B and C-D tracks obtained 4 rock layers, namely volcanic breccia, lava, tuff breccia, and tuff rock. With an error value of 8.25% for incision A-B, and 3.63% for incision C-D
2D Modeling of Subsurface Structures Based on Gravity Data of Mount Arjuno-Welirang
Indonesia is a country that has volcanoes stretching from west to east from Sumatra, Java to Sulawesi. Mount Arjuno-Welirang is a stratovolcano type volcano with an altitude of about 3,339 m (10,955) for Mount Arjuno while for Welirang it is about 3,156. Mount Arjuno-Welirang and its surroundings are composed by rocks sourced from Anjasmoro Volcano (Early Plistocene), Ringgit-Pundak-Butak Volcano (Middle Plistocene), Arjuno-Welirang Twin Volcanoes I and II (Late Plistocene), and Penanggungan Volcano. This research includes data processing and interpretation of the results of data processing. This research was conducted using geophysical methods, namely the gravity method. The theoretical basis used is Newton's Law. Data in the form of gravity data that has been downloaded on the Land Gravity Data Website which is then processed using Surfer software, then the Magpick Software Upward Continuation process is carried out. After that, the slicing process is carried out on the residual anomaly, then the slicing results will be used to interpret using Grav2DC Software qualitatively based on the geological map as a reference. The interpretation results on the A-B and C-D tracks obtained 4 rock layers, namely volcanic breccia, lava, tuff breccia, and tuff rock. With an error value of 8.25% for incision A-B, and 3.63% for incision C-D
Evaluation of Structural Features and Hydrocarbon Reservoir Potential of the Baturaja Formation Using Seismic Envelope and Sweetness Attributes
The Afara Field is located around the South Sumatra Basin, which is estimated to contain oil and gas hydrocarbon deposits. The method that can be used for hydrocarbon reserve exploration is the seismic method. Interpretation analysis is carried out by analyzing seismic attributes to determine the amplitude value, shape, and position of seismic waves to identify depositional environments, fluvial or channels, carbonate buildups, to detect fractures and faults, and to provide a direct hydrocarbon indicator (DHI). In this study, the seismic attributes used are the envelope and sweetness attributes to identify the presence of reservoirs, and the ant-tracking attribute is used to identify fault structures around the study area. The results obtained from the analysis carried out on the envelope attribute are the presence of hydrocarbon deposit areas seen from the bright-spot which indicates that the resulting amplitude value is high. The amplitude value has a range of values around 280,000 ms to 440,000 ms located around the UPI-40 and UPI-60 wells. This is validated by the sweetness attribute, which is characterized by the presence of a sweet spot with a value ranging from 60,000 ms to 80,000 ms. The results of the geometric attribute analysis revealed the presence of faults in the study area
