Handoyo, Bernard Cavin Ronlei, Andy Setyo Wibowo, Fatkhan, Asido Saputra Sigalingging, Edlyn Yoadan Nathania, Aurio Erdi, Per Avseth, Ramon Carbonell, Pranowo Nugroho, Riky Hendrawan Bayu Pandito, Aladin Nasibov, Abdullah Ali Ali Husein
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 study 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. © SCOG - 2025
Geophysical Engineering, Institut Teknologi Sumatera Terusan Ryacudu Street, South Lampung, Indonesia; Bandung Geological Survey Center Cihaur Geulis, Cibeunying Kaler, West Java, Bandung City, 40122, Indonesia; Geophysical Engineering, Institut Teknologi Bandung, Ganesha Street No. 10, Bandung, Indonesia; Research Centre for Geological Resources, National Research and Innovation Agency (BRIN), M.H. Thamrin Street NO. 8, Central Jakarta, 10340, Indonesia; Dig Technology, Frøyas gate 13, Oslo, 0273, Norway; Geosciences Barcelona (GEO3BCN, CSIC), Barcelona, Spain; Pertamina Hulu Energi OSES (PHE OSES), Prof. DR. Satrio Street No. 164, Karet Semanggi, Setiabudi, Jakarta, South Jakarta City, 12950, Indonesia; Pertamina Hulu Rokan (PHR), Prof. DR. Satrio Street, NO. 30, Kuningan, South Jakarta City, 12940, Indonesia; Azerbaijan State Oil and Industry University, Baku, Azerbaijan; School of Marine Sciences, Sun Yat-Sen University, Guangzhou, China
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