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Sandri Erfani, S.Si, M.Eng.
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Geophysical Engineering Department Engineering Faculty Universitas Lampung, Prof. Dr. Sumantri Brojonegoro Street No 1, Rajabasa District, Bandar Lampung, Indonesia 35145
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JGE (Jurnal Geofisika Eksplorasi)
Published by Universitas Lampung
ISSN : 23561599     EISSN : 26856182     DOI : https://doi.org/10.23960/jge
Core Subject : Science,
Earth & Planetary Sciences
Jurnal Geofisika Eksplorasi adalah jurnal yang diterbitkan oleh Jurusan Teknik Geofisika Fakultas Teknik Universitas Lampung. Jurnal ini diperuntukkan sebagai sarana untuk publikasi hasil penelitian, artikel review dari peneliti-peneliti di bidang Geofisika secara luas mulai dari topik-topik teoritik dan fundamental sampai dengan topik-topik terapandi berbagai bidang. Jurnal ini terbit tiga kali dalam setahun (Maret, Juli dan November), Volume pertama terbit pada tahun 2013 dengan nama Jurnal Geofisika Eksplorasi (JGE).
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Ilmu Bumi dan Planet (Lain-Lain)
Articles 2 Documents
 1 
Search results for , issue "Vol. 12 No. 1 (2026)" : 2 Documents clear
IDENTIFICATION OF IRON MINERALIZATION ZONES USING FORWARD MAGNETIC MODELING METHODS IN PELAIHARI – TANAH LAUT REGENCY Qorina, Aulia; Irawati, Selvi Misnia; Nugraha, Purwaditya; Taufan, Yoqi Ali
JGE (Jurnal Geofisika Eksplorasi) Vol. 12 No. 1 (2026)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v12i1.501

Abstract

Accuracy in identifying the distribution zone of iron ore mineral resources in the Pelaihari area, Tanah Laut Regency, is very important for exploration activities. This study aims to identify the presence of iron ore using magnetic data based on Analytical Signal maps from residual processing and modeling 2D subsurface results to see iron ore mineralization zones. The magnetic method used in this study is a geophysical exploration technique based on measurements of variations in magnetic anomaly intensity in rocks caused by the Earth's magnetic field. Magnetic data underwent magnetic correction, daily correction, and correction according to the International Geomagnetic Reference Field (IGRF) standard to determine the Total Magnetic Intensity (TMI). Based on the results of the study, iron ore mineralization zones were identified at a depth of approximately 10–40 m from the surface with a high susceptibility value of around 0.2 SI. The high residual anomaly response and Analytic Signal values between 23.4–36.0 nT/m indicate a shallow magnetic source localized by ultramafic rocks as the bedrock with a susceptibility value of approximately 0.097 SI at a depth of up to ±150 m, forming a prominent upward bulge. These characteristics indicate significant potential for laterite mineralization.
RESERVOIR CHARACTERIZATION USING SCALED QP AND QS AT POSEIDON FIELD, BROWSE BASIN Amalia, Nuzul Cahyani; Herawati, Ida
JGE (Jurnal Geofisika Eksplorasi) Vol. 12 No. 1 (2026)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v12i1.509

Abstract

Reservoir characterization is a critical component of hydrocarbon exploration and development. Seismic wave attenuation, which is closely linked to the physical properties of rocks, has emerged as an effective tool for this purpose. The Scaled Qp and Qs (SQp and SQs) methods represent advanced attenuation-based technique capable of discriminating lithology and fluid content through analysis of P-wave and S-wave attenuation. This study applies SQp and SQs attributes to characterize lithology and fluid distribution within the Plover Formation of the Poseidon Field, using 3D partial angle stack seismic data and well logs from three wells: Kronos-1, Poseidon-1, and Poseidon-2. Crossplot analysis indicate that low SQp values (0.02–0.2) are associated with sandstone, whereas higher SQp values (0.2–0.7) correspond to shale. In terms of fluid discrimination, high SQs values (0.55–0.7) identify gas-bearing zones, while lower SQs values (0.4–0.55) indicate brine-saturated interval. SQp and SQs volumes derived from simultaneous inversion reveal that gas-saturated sandstone reservoirs — characterized by low SQp and high SQs — are distributed along a southwest to northeast trend, consistent with the location of all three wells. These results demonstrate that SQp and SQs attributes effectively distinguish reservoir from non-reservoir lithology and delineate hydrocarbon-bearing zones, providing a reliable attenuation-based workflow for reservoir characterization in similar geological settings.

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