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All Journal Scientific Contributions Oil and Gas
Fernando Lawrens Hutapea
Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung
Chemical Engineering, Chemistry & Bioengineering Energy

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The Use of Modified Rock Physics Template to Monitor Fluid Saturation in Carbonate Reservoir Riskiray Ryannugroho; Sonny Winardhi; Djoko Santoso; Mohammad Rachmat Sule; Krishna Agra Pranatikta; Fernando Lawrens Hutapea; Dona Sita Ambarsari
Scientific Contributions Oil and Gas Vol 48 No 2 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i2.1749

Abstract

Rock physics template (RPT) is defined as a crossplot of acoustic impedance (AI) against the ratio of P- and S-wave velocities that is used for lithology and pore-fluid interpretation of well log data and/or pre-stack seismic inversion results. This study is employing an interactive RPT approach, which facilitates calibration using available data and enhances the interpretation and prediction of pore fluids within carbonate reservoir rocks. A previously established RPT model is modified to construct the rock physics template and to interpret trends in porosity and fluid saturation within a predictive framework. The modified approach to the RPT formulation demonstrates that the proposed model yields more accurate porosity and fluid saturation trends for the reservoir rocks in the study area than the previous RPT model, as evidenced by the theoretical curves in the Rock Physics Template (RPT) domain. To predict fluid saturation, a workflow is developed to build the modified RPT model that incorporates the Curved Pseudo Elastic Impedance (CPEI) and the Pseudo Elastic Inversion for Lithology (PEIL) attributes. These attributes are used to regulate the fluid saturation and density values in the model space and to assist in constructing the RPT model. The proposed method is also applied to monitor fluid saturation changes in oil, gas, or CO₂ cases, utilizing the Vp/Vs ratio and acoustic impedance derived from the seismic inversion data, and allows calibration with available datasets such as well logs and cores.
The use of the Common Offset of the Common Reflection Surface (CO-CRS) for Velocity Analysis and Data Preconditioning Wahyu Triyoso; Fernando Lawrens Hutapea
Scientific Contributions Oil and Gas Vol 48 No 4 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i4.1935

Abstract

This study introduces a Common Offset (CO) extension of the Common Reflection Surface (CRS) method to address seismic imaging challenges in complex geological settings and with noisy data. This CO-CRS approach aims to enhance the signal-to-noise ratio and overcome the limitations of conventional preconditioning techniques that rely on accurate parameterization. Building upon established work on zero-offset CRS (ZO-CRS), the CO method generates regularized prestack data suitable for both time- and depth-domain processing by interpolating missing offsets using a local hyperbolic approximation. Ultimately, this study utilizes CO-CRS for enhanced velocity analysis and data preconditioning prior to performing prestack time migration (PSTM). In this study, the CO-CRS is then used for velocity analysis and prestack time migration. The results show that prestack CO-CRS data yield improved time-migrated seismic images, and we suggest extending the application to the depth domain. To achieve a reliable velocity model for imaging, recursive seismic inversion (RSI) is applied to derive the velocity model using the PSTM stack and a velocity interval time, based on CRS semblance velocity analysis. Furthermore, the prestack depth migration (PSDM) is then tested. The depth-imaging results are reliable, and it can be concluded that combining the benefits of the CRS noise-reduction feature with more accurate velocity analysis and prestack migration can provide enhanced capabilities.
Co-Authors Djoko Santoso Dona Sita Ambarsari Krishna Agra Pranatikta Mohammad Rachmat Sule Riskiray Ryannugroho Sonny Winardhi Wahyu Triyoso