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All Journal Phi : Jurnal Pendidikan Fisika dan Terapan JURNAL KEPERAWATAN MERSI SYARIATI : Jurnal Studi Al-Qur'an dan Hukum Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia At-Ta’awun: Jurnal Mu’amalah dan Hukum Islam Jurnal of Community Health Development (JCHD) Publikasi Kegiatan Pengabdian Masyarakat (SIGDIMAS) Journal of Authentic Research Prosiding Seminar Nasional Pemberdayaan Masyarakat (SENDAMAS) Journal of Citizen Research and Development Journal Of Bionursing Dinamika Kerajinan dan Batik: Majalah Ilmiah Scientific Contributions Oil and Gas
Handoyo Handoyo
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Characterization of the Menggala Formation Sandstone Reservoir Using Multi-Attribute Seismic in the “X” Field, Central Sumatra Basin Sani, Dinda Zahra; Handoyo, Handoyo; Samosir, Sondang
Jurnal Phi: Kurnal Pendidikan Fisika & Terapan Vol 12 No 2 (2026)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v12i2.34507

Abstract

Field X in the Central Sumatra Basin presents unique characteristics due to suboptimal data quality for seismic inversion analysis. However, a comprehensive reservoir characterization is still required. Therefore, alternative strategies are needed to optimize the available data, one of which is multi-attribute seismic analysis. This study aims to characterize the reservoir in the Menggala Formation, Central Sumatra Basin, using multi-attribute seismic analysis. The petrophysical parameters used include density porosity (DPHI), water saturation (Sw), and shale volume (Vsh) as primary indicators for assessing reservoir quality. The dataset consists of post-stack 3D seismic data and well log data from four calibration wells, including gamma ray, density, neutron, and resistivity logs. The research workflow began with petrophysical analysis to derive DPHI, Sw, and Vsh values from the well log data, followed by seismic attribute extraction within the target reservoir intervals. Multi-attribute linear regression was then applied to establish a quantitative relationship between seismic attributes and well log data, enabling the lateral prediction of petrophysical parameter distributions across the study area. Model validation was conducted by comparing the predicted values against well log data, yielding correlation coefficients of r= 0.63 (Vsh), r= 0.85 (DPHI), indicating sufficiently reliable and acceptable prediction results. Based on the modeled property distributions, potential reservoir zones are characterized by low Vsh, high DPHI, reflecting the presence of clean sandstone with good hydrocarbon potential. These findings serve as a valuable reference for identifying prospect zones and supporting future development planning within the study area.
Co-Authors Abdillah, Hanif Ridho Ali Husein, Abdullah Ali Amad Sudiro, Amad Andriani, Kasmita Ariawan, Kuncoro Avseth, Per Bayu Pandito, Riky Hendrawan Budiono Budiono Butarbutar, Chievo Carbonell, Ramon Charissa, Aurell Alyya Charles AN, Charles Choerul Anwar, Choerul Dwi Hartanti Erdi, Aurio F. Fatkhan Fadhillah, Tiara Gosal, Grace Anna Belle Hartati Hartati Herry Prasetyo Hidayat, Dian Charity Khasanah, Andi Khuswatun Louisa, Natasha Mandry, Febrayen Faldo Mella Ismelina Farma Rahayu Munjiati Munjiati Naru, Margareth Trisya Adefinola Nasibov, Aladin Nathania, Edlyn Yoadan Nugroho, Pranowo Prasetyo , Herry Ronlei, Bernard Cavin Samosir, Sondang Samuel, Brian Sani, Dinda Zahra Saraswati, Rina Sigalingging, Asido Saputra Silti Salinita, Silti Sumarsono Sumarsono Sumirat, Bugi Kabul Surati Surati Sutarwadi Sutarwadi, Sutarwadi Sylviani Sylviani Taat Sumedi Wibowo, Andy Setyo Wiranti Sri Rahayu Yulianti Keke