RESERVOIR CHARACTERIZATION USING SEISMIC ENHANCEMENT, AND SIMULTANEOUS INVERSION IN THE BINIO FORMATION OF THE

• Main Author: Zaky Ramadhani, Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/86253
• Institution: Institut Teknologi Bandung

The Binio Formation is part of the Sumatra Central Basin, which has been extensively explored and produced in Indonesia. Recent research suggests that the Sumatra Central Basin holds natural gas hydrocarbon reserves of 126 billion cubic feet. Nine formations are found in the Sumatra Central Basin, with the Binio Formation being the primary focus of this study. The Binio Formation formed after a hiatus marked by regression, followed by deposition during the Late Miocene in a fluvial to neritic environment, with alternating sandstone and shale lithologies. This study at Field "X" aims to map the distribution of sandstone reservoirs within the Binio Formation. Based on seismic and geological data, tuning thickness analysis was conducted to compare the thickness of the tuning thickness with the reservoir thickness. Tuning thickness analysis was performed by comparing CDP gathers, conditioned data, and enhanced data in the target reservoir zone. Conditioning and enhancement of seismic data were carried out to improve seismic resolution based on seismic amplitude values, and a change in tuning thickness was observed after conditioning and enhancement. The average reservoir thickness is 11.98 feet, with average tuning thickness values for each dataset being 62.15 feet, 58.9 feet, and 46.61 feet. Subsequently, simultaneous inversion was conducted in the study area using conditioned and enhanced seismic data to visualize the distribution of sandstone reservoirs based on AI, density, and lambda-rho parameters. The results of the inversion indicate that mapping sandstone reservoir layers using enhanced seismic data provides a clearer visualization compared to using conditioned seismic data. The target zone using enhanced seismic data has a resolution closer to that of the seismic data.