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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 10 Documents
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Search results for , issue "Vol 4, No 3 (2018)" : 10 Documents clear
ANALISIS TINGKAT RESIKO DAMPAK GEMPABUMI DI KABUPATEN CILACAP MENGGUNAKAN METODE DSHA DAN DATA MIKROTREMOR Kukuh Dialosa; Rustadi Rustadi; Bagus Sapto Mulyatno; Cecep Sulaeman
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.42

Abstract

Soil mechanical research has been done in Cilacap Regency using DSHA method and microtremor data. This study aims to analyze the local land response to earthquakes based on the dominant frequency parameters (f0), amplification factor (A0), wave velocity VS30 and seismic hazard analysis through deterministic approach. This research uses 193 microtremor measurement points using a short period TDS-303 type (3 component) seismometer. Microtremor data were analyzed using the Horizontal to Vertical Spectral Ratio (HVSR) method in geopsy software. DSHA analysis refers to the source of the Lembang Fault earthquake and Java Subduction zone for deterministic calculations. Based on the analysis of HVSR method, Cilacap Regency is located on land type 1 (frequency 0-1.33 Hz) and soil type 2 (frequency 1,33-5 Hz) according to Kanai Classification (1983), dominated amplification value 1,104 to 8,171 times, then Dominated by soil class E (VS30 value 183 m / s) and soil class D (183 m / s VS30 366 m / s) according to NEHRP Classification (2000). This indicates that Cilacap Regency has high vulnerability to earthquake disaster. Based on the estimated value of PGA calculation method of DSHA, from the calculation of earthquake source Subduction obtained Java PGA bedrock 0,045 g - 0,0671 g and PGA surface rock 0,1926 g - 0,4855 g and calculation of Lembang Fault obtained PGA bedrock 0, 09 g - 0.025 g and PGA surface rocks 0.017 g - 0.089 g. Based on risk map analysis (combination of dominant frequency analysis, amplification, susceptibility factor and ability factor), the highest risk areas are Kec. Adipala, Kasugihan, Binangun, Nusawungun, Cil. Middle, Cil. South, Cil. North, allegedly the soil layer constituent area is a layer of thick and soft sediments. While the low risk of Kec. Majenang and Dayeuh Luhur.
INVERSI 2D DATA MAGNETOTELURIK UNTUK MENGETAHUI KEBERADAAN HIDROKARBON DAERAH BULA, MALUKU Elen Novia Limswipin; Syamsurijal Rasimeng; Karyanto Karyanto; Noor Muhammad Indragiri
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.38

Abstract

There had been done a regional research which tittle is “2D inversion magnetotelluric data for understanding the hidrocarbon presence in Bula, Maluku”. This study aims to determine the resistivity distribution area of research based on data Magnetotelluric, identifying the presence of hydrocarbons based on the value of the resistivity of the results of 2D inversion of data Magnetotelluric. Methods of data processing done are (i) transform raw data from the time domain into the frequency domain, (ii) reduce noise by robust processing, (iii) process combine, (iv) Selection cross power, (v) inversion 1D and 2D. 2D inversion results is sectional subsurface resistivity distribution, layer having resistivity values 7-16 Ωm along MT1 and MT7 point at a depth of 1000 meters is a clay stone which is indicated as cap rock. Layer with resistivity values 34-120 Ωm, which is between the point MT6 and MT7 at a depth of 1500 meters is indicated as the sandstone reservoir. Based on geologic information and sectional 2D inversion seen their fault based on the resistivity contrast is between the point MT2 and MT3, MT3 and MT4 and MT6 and MT7.
IDENTIFIKASI CEKUNGAN HIDROKARBON “RAE” BERDASARKAN DATA MAGNETOTELURIK DI DAERAH BULA, MALUKU Gita Purna Rae Wanudya; Syamsurijal Rasimeng; Rustadi Rustadi; Noor Muhammad Indragiri
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.40

Abstract

The research had been performed using Magnetotelluric to get a 2D model based on variations in resistivity of the subsurface rock. The purpose of this study was to determine the hydrocarbon formation zone. The research method to achieve the research objectives, among others, the first filtering performed on the data with a robust process. This process consists of Robust No Weight, Robust Rho Variance and Ordinary Cohenerency. The second step is done to change the format Selection XPR And Edi. A third inversion resistivity model for the review get a 2D cross section. Based on the findings of the eight data processing methods of measurement points obtained information Magnetotelluric rock formations. Formation hidrokrabon What are the areas is research a reservoir and caprock. The layer in 1600 m – 2700 m depth from the surface which resisvity 12 -33 m assumpted as clay cap. While the layer in 2700 m – 5000 m depth from the surface with high resistivity 41- 250 m is assumpted as oil sands (reservoir). The trap zone of this hidrocarbon formation categorized into structural trap which is the trap of anticline.
Front Cover JGE Vol 4 No 3 2018 Editor JGE
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.49

Abstract

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Introduction and Table of Content JGE Vol 4 No 3 November 2018 Editor JGE
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.50

Abstract

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PERHITUNGAN CADANGAN HIDROKARBON FORMASI TALANG AKAR MENGGUNAKAN ANALISIS PETROFISIKA DAN SEISMIK INVERSI AI DENGAN PENDEKATAN MAP ALGEBRA PADA LAPANGAN BISMA, CEKUNGAN SUMATERA SELATAN Egi Ramdhani; Ordas Dewanto; Karyanto Karyanto; Nanang Yulianto
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.37

Abstract

As a potential field in hydrocarbon prospect, Bisma field, the part of south Sumatra basin, can be evaluated in order to mapping the hydrocarbon accumulation and total reserve calculation purpose. Petrophysical analysis is an analytic method to evaluate the formation which sensitive with vertical contrast. Main output of this analysis is the compilation of some property value that useful on reservoir quality justification. Seismic acoustic impedance inversion is a method that can be used to define the distribution of porous zone as a hydrocarbon reservoir. This inversion result is the distribution of prospect area map by using combination of interpretation in AI map, density map and P-wave map. Map algebra is a calculation method that used to map that has the same grid number. By using those three methods, the reserve of hydrocarbon accumulation on Bisma field can be calculated. Petrophysical analysis results the indication of hydrocarbon in target zone is oil on two main layer, S and W3. Meanwhile, seismic inversion interpreting the distribution of porous zone is between 7400 – 9315 m/s*gr/cc in AI value context. Then, the effective porosity, Sw value and isopach are spread laterally using picked horizon and seismic acoustic impedance result as a guide, also, calculating the reserve. Layer S accumulating 21.1 million barrel oil and W3 accumulating 50.2 million barrel oil. This value resulted by aplicating Original Oil in Place (OOIP) equation on property map with map algebra approachment.
KLASIFIKASI PETROFISIKA TIPE BATUAN UNTUK MEMPREDIKSI KUALITAS RESERVOAR PASIR SERPIHAN PADA FORMASI TALANG AKAR, CEKUNGAN ONWJ Feni Priyanka; Bagus Sapto Mulyatno; Riezal Ariffiandhany
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.39

Abstract

Hydrocarbons were accumulated in reservoir, the reservoir has a lot of types depending on the geological conditions and the constituent mineral. In ONWJ basins, sub-basins Arjuna, Talang Akar Formation is sand splintersreservoir type. The presence of clay in a reservoir will reduce the resistivity and increase thesaturation, so it takes a multimineral analysis and the reservoir qualityclassification. In this study, physical properties (porosity, permeability, Rw, and saturation) and the quality of the reservoir can be identified through petrophysical analysis by utilizing log data and core analysis, and the rocktypeprediction(using R35 Winland or HFU method). In this study 5 wells (IX-A1, IX-13, IX-4, IX-7 and IX-8)used and found eight hydrocarbon zones, 6 are validated by the DST (drill steam test)data, androck type method that suitable is the method of HFU (hydraulic flow units) due to the coefficient of correlation between porosity and permeability shows a value of 0.75, based on the calculations, the eight types of rock is conclude, where the dominance of the rock typeis the type 12 with a pore size between 5-10 microns, type reservoir rocks in this study belong to the lithofacies distributary channel and mouthbar sand. By knowing the petrophysical property values, it can determine reservoir productivity and determine the zone eligible to be produced or not, by using curve SMLP (Stratigraphic Modified Lorenz Plot).
STUDI SIFAT TERMAL BATUAN DAERAH LAPANGAN PANAS BUMI WAY RATAI BERDASARKAN PENGUKURAN METODE KONDUKTIVITAS TERMAL Ryan Donovan; Karyanto Karyanto; Ordas Dewanto
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.44

Abstract

Research on Way Ratai geothermal field has been done by measuring the thermal conductivity method. The thermal conductivity data is used to generate a map of the dispersion of heat conductively conductive rocks in the geothermal system. The result of measurement by thermal conductivity method in Way Ratai geothermal field is data of k (conductivity), Rt (thermal resistivity), and T (temperature). The value of the measured conductivity data in the geothermal field has range between 0.056-0.664 W/mK, the measured thermal resistivity value has range between 1.344-17.527mK/W, and the measured temperature value is between 22.68-52.59°C. The difference value of rock’s thermal conductivity is influenced by several factors, which is the existing geological structures in the field such as normal faults and lineaments, the presence of alteration, also the manifestation zone of hot water or hot vapor that caused from fumaroles.
PENENTUAN LITOLOGI LAPISAN BAWAH PERMUKAAN BERDASARKAN TOMOGRAFI SEISMIK REFRAKSI UNTUK GEOTEKNIK BENDUNGAN AIR DAERAH “X” Hilman Sabiq; Syamsurijal Rasimeng; Karyanto Karyanto
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.41

Abstract

Batang Toru river which is through Kecamatan Sipirok, Kabupaten Tapanuli Selatan, will be a hydro-electric power plant, in order to require the electricity in North Sumatera area. Therefore, refraction seismic survey needed to determine the subsurface litology, as a guide in the construction of river water dam in that area. This study aims to determine lithology in the research area based on cross-section of refraction seismic tomography, and to estimate the depth and thickness of the rock layers beneath the surface of the study area. Refraction seismic tomography produces a cross section which shows the distribution of velocity value to depth, so we obtain the interpretation of rock lithology and depth estimation of each layer. The first layer is a topsoil layer with a velocity range of 100-700 m/s, the thickness of the topsoil is estimated to be about 1-10 meters. The second layer is indicated as a tuff-sandstone with medium consolidation with a velocity range of 600-1800 m/s, with an estimated thickness about 10-35 meters. The third layer is indicated as a tuff-sand rock to tuff-breccia with a value range higher than 1800 m/s, with an estimated depth of 30-40 meters from the surface.
ESTIMASI KANDUNGAN SERPIH (Vsh), POROSITAS EFEKTIF (∅e) DAN SATURASI AIR (Sw) UNTUK MENGHITUNG CADANGAN HIDROKARBON PADA RESERVOAR LIMESTONE LAPANGAN “PRB” DI SUMATERA SELATAN MENGGUNAKAN DATA LOG DAN PETROFISIKA Leo Rivandi Purba; Bagus Sapto Mulyatno
Jurnal Geofisika Eksplorasi Vol 4, No 3 (2018)
Publisher : Engineering Faculty Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jge.v4i3.43

Abstract

Log and petrophysics data of research area are that located in South Sumatera Basin, exactly at formation Baturaja will be used for counting the hydrocarbon stock in research field. There are 3 the well datas prosessed to determine the prospect layer of hydrocarbon and estimate the hydrocarbon stock in the productive zone by using 1 petrophysic data from well PRB-3. In order to determine the productive zone of hydrocarbon, the first thing to do is to determine the petrophysics parameters. Parameters used is shale content, effective porosity and water saturation. The value of shale content on “PRB” field shows that reservoir is clean from shale minerals. But, based on the saturation of water, type hydrocarbon in reservoir it is natural gas. Based value of three parameters last, the field “PRB” having 6 zone productive hydrocarbon in each ecploratory wells.  Then, determine zone net pay that had been determined by using the cut-off of shale content which is 8% it means hydrocarbon will be produced if the value of shale content under 8%, effective porosity is 5% it means hydrocarbon will be produced if the value of porosity of effective larger than 5% and water saturation is 70% it means that the value of water saturation on field “PRB” must be less than 70% that hydrocarbon can be produced. Average thickness of the net pay in well PRB-1 is 6.78 meter. In well PRB-2, the average thickness is 7.37 meter while in well PRB-3 it is 3,825 meter. The average thickness from those three wells is 3,005 meter. The mean effective porosity of those 3 wells is 8,1% and the mean water saturation is 27,2%. Gas volume formation factor (Bg) is 0,0226 bbl/SCF which the area width is 28 km2. Natural gas stock (OGIP) in this research area is 7,764 BSCF.

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