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All Journal Sainstek Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Geofisika Tanah Goyang: Jurnal Geosains Tanah Goyang : Journal of Geoscience
Darharta Dahrin
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Energy Engineering Materials Science & Nanotechnology Physics

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PENDETEKSIAN BATAS-BATAS ZONA STEAMFLOOD MENGGUNAKAN DATA ANOMALI GAYABERAT-MIKRO 4D YANG DIBERI KONSTRAIN Fauzi, Ahmad; A. Kadir, Wawan Gunawan; Dahrin, Darharta; Santoso, Djoko
Sainstek Vol 12, No 1 (2009): Vol. XII No. 1, September 2009
Publisher : Lembaga Penelitian Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (953.925 KB)

Abstract

Recently, the oil industry has emphasized enhancement oil recovery (EOR) process. The steamflood are ones EOR process can used to increase the heavy oil production. Effective management of EOR process requires detailed reservoir description and observation of the reservoir being swept at time. The 4D microgravity method can be applied in obtaining reservoir description such as steamflood zone mapping. Combination between the rock physics analysis with ideal model of steamflood used to calculate the synthetic 4D microgravity anomaly. This result suggest the negative 4D microgravity anomaly changes at time represented steamflood zones causes by density contras between steam at the high temperature after injection and pressure with heavy oil at the low temperature and pressure before injection. But the 4D microgravity anomaly can’t detect steamflood zone boundaries causes the anomaly shape with respect to shape of source. We proposed the 4D microgravity anomaly constrained with high resolution horizontal derivative to detect steamflood zones boundaries. The field data showed gravity change of up to -300mGal have occurred in area near ones the oil production well.  The maxima value of the field constrained 4D microgravity anomaly represented the steamflood zones boundaries with its surrounding. Key Word :     EOR process, steamflood, rock physics analysis, the constrained 4D microgravity anomaly
Analysis And Modelling Of Geoelectric Data Modeling For The Identication Of Groundwater aquifer At Cisarua Area, West Bandung Daniswara, A; Dahrin, Darharta; Setianingsih, Setianingsih
Jurnal Geofisika Vol 17 No 2 (2019): Jurnal Geofisika
Publisher : Himpunan Ahli Geofisika Indonesia (HAGI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36435/jgf.v17i2.416

Abstract

Groundwater is the main need of society in everyday life. Groundwater is one of renewable resources but it doesn’t mean that it can be exploitated without limit. Several factors that affect the availability of groundwater derived from nature such as geological conditions, rainfall, and green areas should be considered. Water in the soil is stored in a porous layer and has a good permeability is called an aquifer. Cisarua area is located in West Bandung regency, West Java which is a hilly area that has a topography with a slope ranging from normal to steep. The land use in this area is still dominated with plantation and forest as green area. Groundwater aquifer characteristics in that area needs to be examined and analysed for the needs of the community and agricultural business. In this research, the writer used inversion modeling technique of geoelectric data to visualize the condition of subsurface. Resistivity inversion modelling of apparent resistivity data as a result of resistivity method with Wenner-Schlumberger configuration is then carried out with least-square method. The initial model is modified in an iterative manner such that the sum of square error of the difference between the model response and the observed data values is minimized. The result of resistivity modelling is used for analysis of aquifer characteristic such as lithology, depth and structure along with considering geological reference. As the result of modelling, the area of measurement is divided into three zones which are Zone of aeration, Zone of Saturation, and endapan formasi. Zone of aeration is located at depth 0-25 m with resistivity 20-100 Ohm.m and the predicted lithology is gravel or weathered soil. Zone of Saturation (akuifer) is located at depth 25-60 m with resistivity 4-30 Ohm.m and the predicted lithology is sandstone or clay. Endapan Formasi Cibereum is located at more than 60 m from ground with resistivity more than 100 Ohm.m and the predicted lithology is sandy tuff or dry breccia.
Pembuatan Progam Inversi Gayaberat 2D Menggunakan Algoritma Levenberg-Marquadt Kaharudin, Husnaniah; Bahri, Samsul; Dahrin, Darharta
Tanah Goyang : Jurnal Geosains Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains
Publisher : Program Studi Teknik Geofisika, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tanahgoyang.3.1.33-40

Abstract

This research implements 2D gravity data inversion using the Levenberg-Marquardt algorithm to analyze the sensitivity of modeling results to variations in initial models. Testing was conducted on two synthetic models, namely intrusion and fault, with density contrasts of 0.5 g/cm³ and 0.7 g/cm³ respectively. The inversion results demonstrate a critical dependence on the initial model. A homogeneous initial model produced distorted density estimates concentrated near the surface. Conversely, an initial model approximating the actual synthetic model yielded faster convergence and more accurate density distribution reconstruction. Comparative analysis revealed that the fault model achieved better fit, indicating the superior lateral resolution of the gravity method compared to its vertical resolution. These findings confirm that the accuracy of gravity data inversion heavily relies on geological constraints integrated through the initial model, where an informed approach produces more reliable subsurface models.
Pembuatan Progam Inversi Gayaberat 2D Menggunakan Algoritma Levenberg-Marquadt Kaharudin, Husnaniah; Bahri, Samsul; Dahrin, Darharta
Tanah Goyang : Jurnal Geosains Vol 3 No 1 (2025): Tanah Goyang : Jurnal Geosains
Publisher : Program Studi Teknik Geofisika, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tanahgoyang.3.1.33-40

Abstract

This research implements 2D gravity data inversion using the Levenberg-Marquardt algorithm to analyze the sensitivity of modeling results to variations in initial models. Testing was conducted on two synthetic models, namely intrusion and fault, with density contrasts of 0.5 g/cm³ and 0.7 g/cm³ respectively. The inversion results demonstrate a critical dependence on the initial model. A homogeneous initial model produced distorted density estimates concentrated near the surface. Conversely, an initial model approximating the actual synthetic model yielded faster convergence and more accurate density distribution reconstruction. Comparative analysis revealed that the fault model achieved better fit, indicating the superior lateral resolution of the gravity method compared to its vertical resolution. These findings confirm that the accuracy of gravity data inversion heavily relies on geological constraints integrated through the initial model, where an informed approach produces more reliable subsurface models.
Identification Of Liquefaction-Potential Zones Using The Gravity Method In Lolu Village, Central Sulawesi Silalahi, Meschac Timothee; Dahrin, Darharta; Abdurrahman, Dadi; Tohari, Adrin
Jurnal Penelitian Pendidikan IPA Vol 9 No 8 (2023): August
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i8.4830

Abstract

A seismic event of magnitude 7.5 struck the Palu region in Central Sulawesi on September 28, 2018, precipitating a subsequent calamity in the form of a tsunami measuring 4-7 meters in height. This catastrophe was further compounded by the occurrence of liquefaction, leading to extensive devastation and a significant loss of life. In order to identify areas susceptible to liquefaction, it is anticipated that the employment of the gravity method, renowned for its capacity to discern density fluctuations associated with the mass of voluminous materials over a considerable detection range, will prove instrumental. The investigation of parameters and the characterization of liquefaction phenomena in regions previously afflicted by liquefaction disasters can be instrumental in devising strategies for mapping zones that are predisposed to such occurrences. The present study seeks to employ geophysical methods, specifically the gravity method, to delineate zones with the potential for liquefaction within the Lolu Village at Palu City, Central Sulawesi. Through the application of techniques designed to isolate regional and residual anomalies, it is envisaged that a clearer understanding of anomalies situated in shallower regions can be attained, with a specific focus on residential areas. Notably, due to liquefaction, approximately half of the residential areas have shifted a considerable distance of around 132 meters from their original positions. To facilitate the interpretation of subsurface layers, two-dimensional cross-sections are modeled to intersect the displaced and stationary areas. The residual map reveals discernible variations in anomaly values, with lower values observed in the areas that experienced liquefaction-induced movement. Subsurface modeling further demonstrates the presence of three distinct rock layers, namely a sandy layer, a gravel layer, and a rock layer. Additionally, the modeling depicts the formation of canals composed of hard rock, exhibiting varying thicknesses within the surface layer as a consequence of the liquefaction event in 2018. The existence of these canals serves as an indicator that when the sandy layer becomes saturated with water, it will flow along the topographical gradient, following the path of the subterranean canals that have formed.
Co-Authors Abdurrahman, Dadi Adrin Tohari Daniswara, A Djoko Santoso I Gusti Bagus Wiksuana Kaharudin, Husnaniah Samsul Bahri Setianingsih Setianingsih, Setianingsih Wawan Gunawan A. Kadir