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Study of Porosity and Mechanical-Elastic Properties of the Potential Underground CO2 Storage in Un-Mined Coal Seams from Well-log Data, South Sumatra Basin, Indonesia Handoyo, Handoyo; Sigalingging, Asido Saputra; Nathania, Edlyn Yoadan; Astomo, Dimas; Carbonell, Ramon; Samosir, Sondang
Science and Technology Indonesia Vol. 10 No. 1 (2025): January
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.1.238-249

Abstract

In CO2 storage technology, particularly in coal seams, necessitates specialized research into numerous critical factors that are equivalent to coal seam characteristics, including porosity, permeability, rock strength (UCS: uniaxial compressive strength), Poisson ratio, and brittleness. Rock properties of the coal seam are responsible for the CO2 storage capacity. In this study, we have core samples from the borehole and employed four well-logs (within and area ∼ 1000 m × 875 m) that drilled in the coal mining project located in South Sumatra Basin, Indonesia. The goal of this study is to describe the coal seam C strata in the sub-surface that have the potential to be utilized for underground CO2 storage. In this study, we identified coal seams C from low density and gamma rays from log response data. Then, we predict porosity values from data density, velocity (Vp andVs), UCS values, and BI using petrophysical and rock physics approaches. The result of this study shows that the distribution of top depth coal seam C varies in depth 19 to 225 m with the porosity 0.086-0.138. The value of UCS 1150 1299 Pa and brittleness index 0.531-0.569 that are associated with a characteristic coal with low to medium strength and medium brittleness. The results of this preliminary analysis revealed that the coal seam layer in this region has a high potential for CO2 storage in Sumatra, Indonesia.
Characterization of Carbonate Reservoir Potential in Salawati Basin, West Papua: Analysis of Seismic Direct Hydrocarbon Indicator (DHI), Seismic Attributes, and Seismic Spectrum Decomposition Handoyo, Handoyo; Ronlei, Bernard Cavin; Sigalingging, Asido Saputra; Avseth, Per; Triyana, Endra; Akin, Özgenç; Young, Paul; Alcalde, Juan; Carbonell, Ramon
Indonesian Journal on Geoscience Vol. 11 No. 2 (2024)
Publisher : Geological Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17014/ijog.11.2.173-188

Abstract

Carbonate reservoir of Kais Formation in Salawati Basin, West Papua, is the most famous oil and gas reservoir in the eastern part of Indonesian Archipelago since 1970’s. Nowadays, new prospects in this area are more challenging and most relevant near the infrastructure of previous oil and gas fields. In this study, a relatively new seismic dataset was investigated to figure out new prospects in carbonate reservoir rocks in the area of interest. In this preliminary study, where seismic data are not supported by well data, direct hydrocarbon indicator (DHI), seismic attribute, and spectral decomposition (CWT: continuous wavelet transform) allow the authors to characterize the reservoir geometry and to predict pore fluids within the reservoir rocks. The reservoir geometry of carbonate reef of Kais Formation (C1) was identified by seismic reflectors with high amplitude contrast at the top C1. The hydrocarbon indicator was predicted by DHI where dim spots, flat spots, and polarity reversals are indicative of hydrocarbon prospects. From the attribute analysis, the attribute instantaneous amplitude detected the top carbonate C1, whereas pore fluids were predicted from high sweetness attribute. In addition, spectral decomposition CWT method confirms the top C1, identified as saturated rock by the frequency of 10 Hz, 20 Hz, and 30 Hz. Based on a seismic study in the researched area, the target zone is expected to be a very promising hydrocarbon reservoir, specifically a carbonate reservoir. As a result, the preferred well-test location is in a region with access to the Kais Formation limestone reef layer. This study can assist in reservoir characterization, especially in areas with limited well control.
Reservoir Characterization of Ngrayong Formation, Sandstone with Carbonate Intercalation, Using a Geostatistical Approach Based on Petrophysical Parameters, Northeast Java Basin, Indonesia Handoyo, Handoyo; Ronlei, Bernard Cavin; Wibowo, Andy Setyo; Sigalingging, Asido Saputra; Nathania, Edlyn Yoadan; Fatkhan, Fatkhan; Erdi, Aurio; Avseth, Per; Carbonell, Ramon; Nugroho, Pranowo; Bayu Pandito, Riky Hendrawan; Nasibov, Aladin; Ali Husein, Abdullah Ali
Scientific Contributions Oil and Gas Vol 48 No 3 (2025)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v48i3.1828

Abstract

Hydrocarbons have a vital role as a driver of the global economy, which causes demand to continue to increase. To achieve production targets, oil and gas companies try to conduct exploration using efficient and accurate methods to obtain optimal hydrocarbon reserves. One approach in hydrocarbon exploration is to use geostatistical analysis to understand the characteristics of petrophysical parameters of reservoir rocks (e.g. porosity, permeability, water saturation and facies). This study aims to characterize reservoirs in the NE Java Basin using a geostatistical approach that Sequential Gaussian Simulation (SGSIM) to produce random realizations that can be adjusted and validated through geostatistical analysis of data before and after the simulation. The dataset used in this study consist of well data, seismic line, and core data. The results shows the petrophysical properties distribution from the simulation reveals the dominance of carbonate sandstone reservoirs in the central part of the study area with a thinning slope towards the northwest and southeast, while sandstone reservoirs are only dominant in the southeast direction of the study area. This research provides important insights in understanding reservoir characteristics and can be a basis for efficient decision making in the exploration of hydrocarbon resources in this area.