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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 226 Documents
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Perhitungan Volumetrik Cadangan Hidrokarbon pada Reservoir Pasir Padat Berdasarkan Integrasi Inversi Seismik Pre-Stack dan Pemodelan Statik 3D: Studi Kasus Lapangan Penobscot, Cekungan Nova Scotia, Kanada. Hilal Ramadhan Fikri; Handoyo; Mokhammad Puput Erlangga
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.v12i1.507

Abstract

This study investigates the volumetric calculation of hydrocarbon reserves in tight sandstone reservoirs by integrating pre-stack seismic inversion and static modeling. The research focuses on the Penobscot Field in the Scotian Basin, Nova Scotia, Canada, specifically the Middle Mississauga Formation, which contains tight sandstone. The study aims to estimate hydrocarbon reserves in tight sandstone, which has distinct characteristics compared to typical sandstone. The static modeling approach integrates seismic and well data to construct a structural model, allowing the spatial estimation of volume shale (), effective porosity (), water saturation (), and net to gross (NTG). Pre-stack seismic inversion is applied to generate detailed subsurface models, utilizing seismic data before the stacking process for more comprehensive information. By using data from various angles of incidence, this method improves resolution and enhances the ability to detect complex subsurface layers, producing a model with physical rock parameters like density and P-wave velocity. The study uses pre-stack seismic inversion to obtain an acoustic impedance profile, which is then applied in facies and petrophysical property simulation using geostatistical methods SGS and SIS to align simulation trends with inversion results. This integration is expected to produce a reliable model for hydrocarbon reserve volume calculation. Results indicate that the tight sandstone zones contain hydrocarbon reserves, primarily gas, due to the low porosity of the sandstone and the lower viscosity of gas compared to oil, enabling gas to move more easily into narrow pores. The simulated effective porosity, ranges from 0.01 to 0.18, volume shale from 0.01 to 1, water saturation from 0.64 to 1, and net to gross (NTG) values from 0.7 to 1.00, resulting in a GIIP volume of 4494 sm³. These findings demonstrate that integrating these methods effectively calculates hydrocarbon reserves in tight sandstone.
CHARACTERIZATION OF TELUK SEPANG COASTAL LOCAL SEISMIC RESPONSE USING MICROTREMOR HVSR ANALYSIS Gita Panny Nababan; Agung Wijaya; Basdiki Hasugian; Marven Saputra; Budi Harlianto; Suhendra Suhendra
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.v12i1.510

Abstract

The coastal area of Teluk Sepang, Bengkulu City, Sumatra, Indonesia, is dominated by young alluvial and marine sediments that are highly susceptible to seismic wave amplification due to tectonic activity along the Indo-Australian–Eurasian subduction zone. This research aims to characterize local seismic response and map soil dynamic properties using microtremor data analyzed with the Horizontal to Vertical Spectral Ratio (HVSR) method. Microtremor measurements were conducted at several observation points with a sampling interval of 5 ms capable of and a recording duration of 30 minutes at each site. The recorded data were processed using the HVSR method through windowing, Fourier transform, and spectral ratio analysis to obtain the dominant frequency (f₀), amplification factor (A₀), and seismic vulnerability index (Kg). The results show that low f₀ values are associated with thick soft sediments, while high A₀ values indicate stronger amplification potential. High Kg values are identified in areas where low f₀ coincides with high A₀, reflecting greater seismic vulnerability. These results reveal significant spatial variability in local seismic response across the study area. This study provides new site-specific insights into seismic vulnerability in coastal environments and contributes to improving seismic hazard assessment and coastal development planning in Bengkulu City.
COMPARATIVE STUDY OF K-NEAREST NEIGHBORS (KNN) AND ARTIFICIAL NEURAL NETWORK (ANN) FOR LITHOLOGY CLASSIFICATION Ruth Agnesia Sasono; Rahma Ramadhani Herliana; M. Fadhil Hawari; Rizky Yustisia Sari; Stevy Canny Louhenapessy
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.v12i1.511

Abstract

This study applies a machine learning approach to classify lithology using well log data from 14 wells in Ford County, Kansas, United States, to address the limitations of conventional interpretation, which is time-consuming and subjective due to overlapping log responses. Reference lithology labels were generated using predefined well-log interpretation criteria and grouped into four classes: sandstone, limestone, shale/clay, and coal. Two supervised learning algorithms, K-Nearest Neighbors (KNN) and Artificial Neural Networks (ANN), were evaluated and compared. The preprocessing stages included data cleaning by removing null values and inconsistencies, Z-score normalization, class balancing using SMOTE on the training data to prevent data leakage, and feature selection based on Pearson correlation. Model performance was evaluated using Classification Accuracy (CA), Area Under the Curve (AUC), Logarithmic Loss (Log Loss), and 5-fold cross-validation. The results indicate that ANN consistently outperformed KNN in lithology classification. ANN achieved classification accuracies above 95%, AUC values approaching 1.00, and low Log Loss, whereas KNN achieved testing accuracies of approximately 75-80% but exhibited lower cross-validation performance, indicating reduced robustness in intervals characterized by overlapping lithological responses. The optimal ANN architecture consisted of three hidden layers with 100-100-100 neurons and 100 training iterations. Visual evaluation of four test wells showed good agreement between the predicted and reference lithology distributions. These findings suggest that machine learning, combined with appropriate preprocessing techniques, can support lithology classification from well log data. Among the evaluated models, ANN demonstrated superior capability in capturing nonlinear relationships between well log responses and lithological variations within the study area.
BOUGUER ANOMALY AND SEDIMENT THICKNESS ESTIMATION AT THE TEHORU GEOTHERMAL AREA Salman Hamja Siombone; Mursaid Dahlan
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.v12i1.512

Abstract

Tehoru Village, Tehoru District, Central Maluku Regency, has significant geothermal potential. This study aims to examine Bouguer anomalies, reduced-Bouguer density, sediment thickness estimation, and shallow structures using TOPEX gravity data and SRTM DEM in an area of ±191.70 km². The processing results show Complete Bouguer Anomaly (CBA) values ranging from 6.80 to 73.60 mGal, with Bouguer densities of 1.77 to 1.79 g/cm³, indicating the dominance of alluvial sediments. Anomaly separation using the Moving Average method yields residual anomalies ranging from -4.60 to 47.70 mGal, with low anomalies dominant in the southwest of the geothermal manifestation. Spectral analysis shows an average sediment thickness of ±246.07 m. In contrast, SVD analysis, lineament maps, and rose diagrams indicate that geothermal manifestations develop in tight fault-related zones with a dominant northeast–southwest orientation. Although effective for regional analysis, TOPEX gravity data interpretation has limitations for imaging shallow structures and sediment thickness variations, as small anomalies are often obscured by its relatively low spatial resolution. Overall, the Tehoru geothermal system is controlled by several local fault-related zones and significant sediment thickness, which influence its response to tectonic activity.
Cover JGE Editor JGE
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.v12i1.532

Abstract

Cover JGE
Foreword March 2026 Editor JGE
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.v12i1.533

Abstract

Foreword March 2026

Page 23 of 23 | Total Record : 226

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