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Analysis of Subsurface Structure of Sembalun Geothermal Prospect Area, East Lombok with 2D and 3D Gravity Modeling Nanda Ridki Permana; Belista Gunawan; Muhammad Nafian
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.5, N
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v5i2.24943

Abstract

Abstract. The existence of Indonesian geothermal is estimated to be spread in 331 locations, one of which is Sembalun, East Lombok Regency. Therefore, this study was conducted to analyze the subsurface structure of geothermal prospect areas in the area using gravity methods. Gravity data used is satellite data as much as 4275 measurement points that have been corrected free air (FAA). The data processing stage resulted in a Complete Bouguer Anomaly (CBA) map with low anomaly values to be the target of research ranging from 58.9 – 115.7 mGal located in the east (Sembalun-Bumbung) and northeast (Sembalun-Lawang). The prospect of geothermal is controlled by the Talaga fault and Pusuk fault on the caldera floor (Sembalun-Lawang). In addition, the Tanakiabang fault and the Orok fault are near the manifestation of Sebau Hot Springs and on the Caldera floor (Sembalun-Bumbung). The results of 2D modeling correlated with 3D modeling conducted inversions showed geothermal sources are estimated to have a density of 2.68 gr/cc – 3 gr/cc consisting of hornblende andesite lava rocks with a depth of >2500, reservoir layer in the form of sand that has a density of 1.4 gr/cc - 1.72 gr/cc with a depth of 700 - 1200 m and a layer of a hood in the form of alluvium rocks that have a density of 1.8 gr/cc - 2.2 gr/cc with a depth of 0 - 500 m.
2D Forward Modeling Geothermal System Gravity Data in South Solok Region, West Sumatra Muhammad Nafian; Belista Gunawan; Nanda Ridki Permana
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics | Vol.4
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v4i1.20235

Abstract

Indonesia has the greatest potential for geothermal energy in the world. Geothermal has an important role as an alternative fuel because it is a renewable energy source, but its use has not been maximized. One of the areas that have the greatest potential for geothermal energy in South Solok, West Sumatra. Therefore, this study was conducted to determine the geothermal system in the South Solok area, West Sumatra by using the gravity method. The gravity data processing stage requires some software to get the CBA value(Complete Bouguer Anomaly), map contours of the CBA. Anomaly separation with the butterworth filter method, determination of residual anomaly slice points, and 2D modeling of geothermal systems. Based on modeling, the qualitative interpretation interprets the Complete Bouguer Anomaly map which is suspected as a geothermal prospect area is a low anomaly ranging from 7.9 mgal - 9.4 mgal which is marked in dark blue. Meanwhile, quantitative interpretation produces modeling of the AB and CD slicing with a total of four layers. This layer consists of clay rock as a cap rock, sandstone as a reservoir, granite as a heated rock as a heat source, and the last layer in the form of magma as a heat source. The anomaly modeling of these two sections is dominated by granite rock with a density value of 2500 kg/m3 for the AB section and 2550 kg/m3 for the CD section.
The Identification of the Existence of a Fault Structure on Gravity and Audio Magnetotulleric Data in the Area of Mount Kubing, Belitung Sanjaya, Edi; Nafian, Muhammad; Suwondo, Suwondo; Fadillah , Muhammad Hasnan; Shafa, Dias
Jurnal Penelitian Fisika dan Aplikasinya (JPFA) Vol. 13 No. 1 (2023)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpfa.v13n1.p81-94

Abstract

Mount Kubing holds significant potential as a tourist attraction, despite being situated in a tectonic zone prone to faults. Its size and attractions make it suitable for both travel and exploration. Hence, the study has been conducted to identify subsurface structures that can identify the structural fault lines when the mitigation occurred during an earthquake or landslide. The derivative analysis method is used to determine the type of structures. The results of the derivative analysis indicate the direction of the fault structure on a Northwest-Southeast, and Southwest -Northeast that is controlled by two different faults. The fault caused by depression from granitic body and silt with FHD and SVD gravity value around -3 mGal until 1 mGal that showing the indication of normal fault and reverse fault in the research location with depth estimation curve (RAPS) approximately 500 meters in the subsurface of the earth. Whereas in 2D Audio Magnetotelluric modelling, it is identified that the groundwater reservoir layer is at a depth of 70-85 meters below the surface which is recognized as a semi-stressed reservoir with a value of 20-27 mv/nT in complex silt and sandstone.
Identifikasi Keberadaan Lapisan Akuifer dan Potensi Air Tanah di Daerah Megal, Blora, Jawa Tengah Wijaya Puspita, Reza Intan; Muhammad Nafian; Suparmin
Swara Patra Vol 14 No 2 (2024): Swara Patra : Majalah Ilmiah PPSDM Migas
Publisher : Pusat Pengembangan Sumber Daya Manusia Minyak dan Gas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37525/sp/2024-2/591

Abstract

Keperluan air bersih cenderung melonjak bersamaan dengan perkembangan Masyarakat karena sumber daya air bersih semakin terbatas. Penelitian ini bertujuan untuk mengidentifkasi keberadaan lapisan akuifer dan potensi air tanah di daerah Megal, Blora, Jawa Tengah, menggunakan metode geolistrik resistivitas dengan konfigurasi Wenner dan Schlumberger. Pengukuran dilakukan dengan jarak antar elektroda 3 meter menggunakan alat SuperSting R8/IP, dan data diolah menggunakan perangkat lunak Res2DInv. Hasil analisis menunjukkan bahwa konfigurasi Wenner mendeteksi lapisan akuifer dengan nilai resistivitas rendah pada kedalaman 11.9–17.2 meter. Sedangkan konfigurasi Schlumberger menunjukkan kedalaman akuifer hingga 31,4 meter dengan resistivitas yang sesuai untuk mengalirkan air. Terutama pada kedalaman 20.3 – 31.4m yang didominasi oleh lapisan batu pasir dengan porositas dan permeabilitas tinggi.
Physics-Guided Multi-Attribute Petrophysical Inversion for Quantifiying Acoustic Impedance and Porosity in the F3 Reservoir Rahman, Fadhlur; Haris, Abdul; Ralanarko, Dwandari; Purba, Humbang; Rulandoko, Wrahaspati; Riyadi, Praditio; Nafian, Muhammad
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.7, N
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v7i2.47186

Abstract

This study introduces a physics-guided multi-attribute inversion (PG-MAI) approach to estimate acoustic impedance and porosity from post-stack seismic data using Bayesian Ridge Regression. The method integrates ten seismic attributes—including amplitude, frequency, and geometric features—into a regularized linear regression framework with Bayesian formulation. Applied to the F3 Block in the Dutch North Sea, the workflow includes temporal upsampling, attribute extraction, and model calibration using two well logs. The inversion results demonstrate high spatial coherence and alignment with geological structures. Validation at both wells shows strong agreement between predicted and measured log values, with correlation coefficients exceeding 0.90 for both acoustic impedance and porosity. Zones of low impedance and high porosity correspond to interpreted deltaic sands and lobate geometries, reflecting the facies heterogeneity of the F3 depositional environment. These outcomes suggest that the inversion framework effectively captures lithological variability, making it valuable for reservoir delineation in similarly complex siliciclastic systems.
PREDICTIVE DECONVOLUTION BASED ON SEISMIC WAVEFORM DIAGNOSTICS FOR ENHANCED MARINE IMAGING RESOLUTION Fahmi, Muhammad; Syamputra, Dhani Nur Indra; Raharjo, Wiji; Sari, Tri Wulan; Nafian, Muhammad
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.8, N
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/fiziya.v8i1.48064

Abstract

Short-period multiples are a persistent problem in marine seismic processing, particularly in shallow-water environments where near-surface reverberations interfere with primary reflections and decrease temporal resolution. Predictive deconvolution remains a widely used method for attenuating such coherent noise. However, conventional implementations often apply fixed operator parameters, limiting their adaptability to waveform variations across time and offset. This study introduces a predictive deconvolution framework guided by seismic waveform diagnostics, in which operator parameters specifically prediction lag and filter length are selected based on trace characteristics such as waveform periodicity and spectral energy distribution. The approach is designed to improve multiple suppression while preserving the fidelity of primary reflections on a 2D marine pre-stack seismic dataset acquired in a shallow offshore setting characterized by strong short-period multiples and limited bandwidth. The results demonstrate around 25% increase in frequency bandwidth, improved reflector continuity, and reduced coherent noise in pre-stack gathers. Compared to conventional deconvolution, the waveform informed design achieves a more effective balance between attenuation and resolution. The proposed approach is applicable to modern marine datasets where high-resolution imaging is limited by near-surface interference.
Three-Dimensional Subsurface Structural Modeling of a Geothermal Prospect in Banda-Neira, Central Maluku, Based on GGMPlus Gravity Data Nafian, Muhammad; Fahmi, Muhammad; Rahma, Farah Aliya; Suciarty A H, Vionna
Jurnal Fisika Unand Vol 14 No 4 (2025)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.14.4.360-367.2025

Abstract

The Banda Island is located at the convergence of three major tectonic plates: the Indo-Australian Plate, the Eurasian Plate, and the Pacific Plate. Banda Neira Island holds significant geothermal potential that can be utilized as an energy resource. Therefore, this study was conducted to investigate the subsurface structure of the geothermal prospect area using the gravity method. In the gravity data processing, derivative analysis results indicate that the Banda Neira geothermal prospect is controlled by multiple fault systems: faults associated with the collapse of the older Banda Neira caldera, as well as local faults confirmed to be reverse faults. In the 3D modeling results, a geothermal reservoir layer is identified with an estimated density of 1.67–1.77 g/cm³, interpreted as a mixture of tuff and minor lava. The reservoir is predominantly water-filled, inferred from its relatively low density, and is located at depths of approximately 150–700 meters. In the second slicing profile, oriented north-south, a cap rock layer is observed at depths of 0–300 meters from the measurement point, with a density of 1.67–1.77 g/cm³, overlying a volcanic reservoir layer found at 200–700 meters depth, with higher densities ranging from 3.57–3.67 g/cm³.
Harnessing Machine Learning for Caprock Capacity and Seal Integrity Assessment in CCS: A Multi-Attribute Seismic Inversion Study from the F3 Block, North Sea Fadhlur Rahman; Abdul Haris; Dwandari Ralanarko; Humbang Purba; Wrahaspati Rulandoko; Praditio Riyadi; Muhammad Nafian; Muhammad Fahmi
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics AL-FIZIYA JOURNAL OF MATERIALS SCIENCE, GEOPHYSICS, INSTRUMENTATION AND THEORETICAL PHYSICS VOL.8, N
Publisher : Department of Physics, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/vgq81h62

Abstract

Accurate characterization of subsurface petrophysical properties is a critical prerequisite for evaluating the suitability of geological formations for carbon capture and storage (CCS), particularly in identifying high-capacity reservoirs and effective sealing intervals. This study explores the use of a machine learning approach—Random Forest (RF) regression—for multi-attribute seismic inversion to predict porosity and acoustic impedance in the F3 Block, offshore Netherlands. The integration of ten seismic attributes with two well log datasets enables the construction of predictive models capable of resolving complex lithological variations within deltaic settings. The RF algorithm’s robustness against geological noise and its ability to model nonlinear relationships offer significant advantages over conventional inversion workflows, especially in heterogeneous and interbedded formations. The results demonstrate that RF-based inversion produces petrophysical volumes with improved spatial continuity and alignment with depositional patterns, offering a promising avenue for CCS site screening and reservoir-seal evaluation. The method’s ability to capture subtle textural and facies changes also enhances understanding of potential CO₂ migration pathways and trap integrity. This research underscores the potential of data-driven inversion frameworks in supporting geoscientific decision-making for CCS development, particularly in data-limited or geologically complex offshore regions.
Seismic-Based Reservoir Characterization of The Lower Arang Formation in West Natuna Basin Using Acoustic Impedance Inversion and Seismic Attributes Hakim Afif Putra; Edi Sanjaya; Suwondo; Muhammad Nafian; Praditiyo Riyadi; Widi Atmoko
Scientific Contributions Oil and Gas Vol 49 No 2 (2026)
Publisher : Testing Center for Oil and Gas LEMIGAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29017/scog.v49i2.2065

Abstract

Reservoir characterization is a critical stage in hydrocarbon potential evaluation, particularly for heterogeneous sandstone reservoirs. This study aims to characterize the reservoir of the Lower Arang Formation in the West Natuna Basin using acoustic impedance inversion and seismic attributes. The dataset consists of seismic data and well log data that have been integrated through a well–seismic tie to ensure consistency between time and depth domains. Acoustic impedance inversion was applied to obtain the subsurface impedance distribution, which was then analyzed together with seismic attributes to identify lithological variations and reservoir property indications. The results indicate that zones with relatively low acoustic impedance values correlate well with porous sandstone intervals within the Lower Arang Formation. The integration of inversion results and seismic attributes enhances the delineation of lateral reservoir distribution and supports a more reliable reservoir characterization. This approach provides an effective workflow for reservoir evaluation in clastic systems with similar geological characteristics.