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Alam Budiman Thamsi
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Journal of Geology and Exploration
Published by CV. Insight Publisher
ISSN : -     EISSN : 29633869     DOI : https://doi.org/10.58227/jge
Core Subject : Science, Engineering,
Earth & Planetary Sciences Engineering
Journal of Geology and Exploration opens a new era for the publication of geoscientific research articles in English, covering geology, geophysics, geochemistry, paleontology, structural geology, mineralogy, petrology, stratigraphy, sedimentology, environmental geology, economic geology, petroleum geology, hydrogeology, remote sensing and mining exploration.
Arjuna Subject : Ilmu Bumi dan Planet (semua kategori) - Teknik Geologi dan Geologi Teknik
Articles 35 Documents
 1   2   3   4 
Identification of Geothermal Prospect Zones in Bittuang Area Based on Remote Sensing and Geochemical Data Imran, Ali
Journal of Geology and Exploration Vol. 3 No. 1 (2024): Journal of Geology and Exploration, June 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i1.136

Abstract

The research location is in the Bittuang area located in Tana Toraja Regency, South Sulawesi, Indonesia. The high level of risk of geothermal drilling at the exploration stage requires integrated geological and geochemical analysis. The integrated analysis is poured into the geothermal system conceptual hypothesis model used to identify geothermal prospect zones. This study focuses on Remote Sensing and Geochemistry methods. To identify the existence of geological structures and lithological interpretation as well as surface manifestations, Remote Sensing is used. Based on the results of Remote Sensing interpretation, the research area consists of 13 rock units of Tertiary to Quaternary age with geological structures in the form of normal faults and horizontal faults that are relatively north-northwest-southeast east and southwest-northeast. The manifestations present on the surface consist of traces of fumaroles and hot springs. The hot springs consist of the chloride type in the centre of the site and the bicarbonate type in the south of the study area. The results of geothermometer calculations of geochemical data obtained a subsurface temperature of 176 -198 °C, which is categorized as a moderate to high temperature geothermal system. The geothermal conceptual model built based on the integration of geological and geochemical data shows that the geothermal system is influenced by volcanic activity and controlled by the structure of the research area. The area of the prospect is about 4 km2 with the up-flow area in the middle of the area while the outflow is in the South.
Vulnerability of Mass Movement Zonation Using DEM in Upstream – Midstream Kelara Watershed, Jeneponto Regency, South Sulawesi Fathurrahman, Fathurrahman; Azikin, Busthan; Imran, A. M.
Journal of Geology and Exploration Vol. 3 No. 1 (2024): Journal of Geology and Exploration, June 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i1.164

Abstract

Mass movement is one of the major natural disasters that claim many lives and property. The Kelara watershed, which is the research area, often encounters land movements that often cause casualties. The problem of mass movement often occurs in the upstream - midstream part of the Kelara watershed with mountainous to hilly morphology with moderately steep to steeply sloping relief. The parameters used in this analysis are lithology, distance from faults, distance from rivers, distance from streets, land use, rainfall, soil type, slope, profile curvature, and slope aspect. The analysis was conducted by giving weights based on the comparison of soil movement events to the class of each parameter using the Weight of Evidence method. Based on the Weight of Evidence method, the mass movement vulnerability zone is divided into five zones, very low vulnerability zone occupies 7.75%, low vulnerability zone occupies 27.11%, medium vulnerability zone occupies 31.76%, high vulnerability zone occupies 21.72%, and very high vulnerability zone occupies 11.66% of the total study area. Based on validation using the AUC value, the Weight of Evidence Method has a value of 0.771 (Fairly Good Model).
Geology and Basalt Petrogenesis in The Amerrung Area Barru Regency South Sulawesi Province Adam, Muhammad; Hasanuddin; Violensia
Journal of Geology and Exploration Vol. 3 No. 1 (2024): Journal of Geology and Exploration, June 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i1.167

Abstract

The research location is in the Amerrung area, Barru Regency, South Sulawesi Province. This area is interesting to learn about the geology and petraceability of the basalt. This study aims to determine the geological conditions and petogenesis of the basalt. This study uses observation, field data collection and petrographic analysis. The geomorphology of the research area is composed of denudasional mountain geomorphological units and denudional steep mountain geomorphological units. The stratigraphy of the research area consists of 3 rock units from m to young rocks, namely porphyry basalt, basalt and volcanic breccia units. The developed geological structure is a combination of the Unsystematic and the Amerrung Inverted Fault. The excavation material consists of basalt and rocks mixed with sand. The geological history of the Amerrung area began during the Middle Miocene and eruptions were effusive. Basalt petrogenesis is formed from the presence of volcanic activity that is effusive in the form of basaltic lava flows that undergo a relatively fast freezing process and form basalt. Basalt is a member of the Tefrite Leussite Formation (Tmca) produced by lava and breccia. This formation has a Middle Miocene-Pliocene Age including the Camba Formation.
Geochemical Characteristics of Iron Sand Deposits in Karsut Beach Area, Jeneponto Regency, South Sulawesi Province Birrul Waalidain, Alif; Harwan, Harwan; Aswadi, Muhammad
Journal of Geology and Exploration Vol. 3 No. 1 (2024): Journal of Geology and Exploration, June 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i1.171

Abstract

Iron sand is one of the industrial minerals. Iron sand ini Indonesia is still limited to being used as a raw material for cement factories in the manufacture of concrete. Iron is given the symbol (Fe) in the periodic table's chemical element. The purpose of this study was to determine the mineral properties of iron sand and the chemical characteristics of iron sand. The research location is in Jeneponto, Jeneponto is a district in the province of South Sulawesi, Indonesia. The stages of the sampling method are carried out by measuring the distance of each sample hole. From one point to another, within 10 meters with a depth of 30cm each from the surface after that the sample that has been taken is then dried. This research method uses XRD and XRF analysis methods. From the results of the why XRD analysis, it was found that 2 minerals carrying iron sand, including Magnetite and Hematite with the percentage content of these minerals, are. Magnetite mineral (Fe3O4) 40,0% and Hematite mineral (Fe2O3) 37,7%. From the results of XRF analysis shows that the chemical composition contained in Fe2O3 minerals contains oxide and hydroxide elements Fe, O, Oxide is a chemicali compound that contains at leasti one oxygen atom and at least one other element.
Estimation Of Laterite Nickel Resources Using The Inverse Distance Weight Method PT Premlog Offshore Indonesia Kolaka Regency, Southeast Sulawesi Province Ardi, Ardi; Jafar, Nurliah
Journal of Geology and Exploration Vol. 3 No. 1 (2024): Journal of Geology and Exploration, June 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i1.172

Abstract

Laterite nickel deposits are ores produced from the weathering process of ultraalkaline rocks on the earth's surface. The term laterit itself is taken from the Latin word "later" which means red brick. Mineral resources are a concentration or occurrence of materials that have economic value on or above the earth's crust, with certain shapes, qualities, and quantities that have a reasonable prospect to eventually be extracted economically. The purpose of this study is to determine the distribution of laterite nickel and calculate the number of resources at PT Premlog Offshore Indonesia. estimate the laterite nickel resources using the Inverse Distance Weighted method. In this study, the activities carried out are for modeling and estimation of laterite nickel resources using the inverse distance weighting (IDW) method. The creation of block models is done through the model block feature in the Surpac 6.5.1 program. The research is carried out directly in the field by taking documentation in the research area. Based on the results obtained from 19 drill points, a volume of 171,540 m³ and a tonnage of 257,310 tons with a COG of 1.5%. The density of nickel ore material at PT Premlog Offshore Indonesia is 1.5 tons/m3. Based on the research conducted at the research site, it can be concluded that in the Shapire Block area with a volume of 171,540 m3, the average Ni level is 1.8% with a nickel ore material density at PT Premlog Offshore Indonesia is 1.5 tons/m3, the indicated resource tonnage of 257,310 tons is obtained from the number of drill points as many as 19 with a drill point spacing of 50 m and COG 1.5 percent.
Correlation Study Of Sulphur and Ash Content In Patappa Coal Area Pujananting Sub-District Barru District Juradi, Muhammad Idris
Journal of Geology and Exploration Vol. 3 No. 2 (2024): Journal of Geology and Exploration, December 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i2.173

Abstract

Coal is an organic sedimentary rock derived from the decomposition of various plant remains which is a heterogeneous mixture of organic compounds and inorganic substances that fuse under the weight of the strata that crush it. This research is devoted to determining the correlation between ash content and sulfur content in Patappa coal area, Pujananting sub-district, Barru Regency. The purpose of this study is to determine whether there is a correlation between ash content and sulfur content in Patappa coal. The research method carried out in this research is the first preliminary stage including administration, literature study and discussion, then the data collection stage includes primary data and secondary data, the stage of data analysis and processing is to determine the correlation between ash content and sulfur content based on the analysis results. The materials used in this research include geological hammer, compass, GPS, sample bag, camera and roll meter. the sampling process carried out is by using channel sampling. The results of the analysis of this study are in sample 1, it can be seen that the value of the ash content is 18.32%, while the sulfur content has a value of 7.22%. In sample 2, the ash content value is 15.58% while the sulfur content has a value of 8.63%. So it can be concluded that the relationship between the two analyses is inversely proportional where the higher the ash content value, the lower the sulfur content value, and vice versa, the lower the ash content value, the higher the sulfur content value.
Identification of Asphalt Distribution and Thickness Using Drill Data Nurfadli, Nurfadli; Widodo, Sri; Jafar, Nurliah
Journal of Geology and Exploration Vol. 3 No. 2 (2024): Journal of Geology and Exploration, December 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i2.177

Abstract

Cross section and block model of sediment is a method to determine the distribution and thickness of the deposition material is layered and constantly. The aim of this study to determine the direction of distribution of asphalt on the research area. Some of the activities carried out in advance starting from the analysis of core drilling, where this activity is to delineate the results of drilling activity to find out some impurities on the asphalt. Furthermore, the data obtained from the drilling include a collar of data, assay data, survey data and lithologic data is processed in tools that are customized. From the data processing result: string average A-A '17.571meters, string B-B' 14.142meters, string C-C '14.857meters, string D-D', 15meters string, E-E '11.142meters, string F-F' 12.75meters, and string G-G '15.833meters. From the results that have been obtained, it can be concluded that the average 14.47109 meters thick string and direction of spread slightly thickened to the west.
Characteristics of Laterite Nickel Based on Geochemical Data and Electrical Resistivity Tomography (ERT) of Ultramafic Rocks in the Sorowako Area, East Luwu Regency Patadungan, Erika; Azikin, Busthan; Pachri, Hendra
Journal of Geology and Exploration Vol. 3 No. 2 (2024): Journal of Geology and Exploration, December 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i2.179

Abstract

In laterite nickel exploration, PT.Vale Indonesia Tbk, initialy relied solely on drilling methods to define profile boundaries based on mineral content and rock characteristics, but discrepancies of around 2% between reserve estimates and actual mining outcomes led to the adoption of geophysical methods as a complementary approach in 2014. This study aims to determine the characteristics of laterite nickel profiles by correlating resistivity values with geochemical data. Using Datamine and Leapfrog software, a 3D model of laterite nickel profiles was generated, identifying limonite (0–10 m depth, 201–250 Ohm.m resistivity), saprolite (0–10 m depth, 101–200 Ohm.m resistivity), and bedrock (>10 m depth, 101 to >801 Ohm.m resistivity). Variations in resistivity are influenced by factors such as mineral content and morphology. The volume estimated from resistivity correlation and drillhole data is 1,625,300 m³ for limonite and 1,902,600 m³ for saprolite, compared to 1,523,100 m³ and 1,390,100 m³ based on drillhole-only data, showing discrepancies of 6% and 27%, respectively. This study provides a clearer understanding of geological modeling using drillhole and ERT data to support laterite nickel ore mining and correlation modeling.
Distinguishing Algorith for Gold Deposit Types Mahmoud, Abdelhalim; Abdelsamad, Mansour; Taha, Ahmed; Mansour , Ahmed; Nassif, Mariam; Abdelfatah, Sara; Saleeb, Mera; Khaled, Rabee
Journal of Geology and Exploration Vol. 3 No. 2 (2024): Journal of Geology and Exploration, December 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i2.184

Abstract

The determination of gold deposit type holds a great economic significance since each gold deposit type displays its own grade and tonnage and consequently requires different exploration and exploitation strategies. The considerable diversity of gold deposits, combined with the distinctive features inherent to each type and the notable overlap among many deposits, renders the accurate classification of these deposits a complex endeavor. To differentiate between these deposit types, we collected geological, mineralogical, and geochemical characteristics, as well as ore-forming parameters, for 12 gold deposit types. A detailed classification scheme is utilized, covering four specific categories of gold deposits, namely orogenic, including greenstone-hosted, banded iron formation-hosted, and turbidite-hosted; reduced intrusion-related deposits; and oxidized intrusion-related gold deposits, which encompass Au-Cu-porphyry, Au-skarn, and high-sulfidation epithermal deposits, with a fourth class incorporating other deposit types, such as low-sulfidation epithermal, Carlin-type, and Au-volcanic massive sulfide deposits. The tabulated distinctive characteristics were used to construct a series of decision trees for gold deposit type identification. The distinguishing algorithm is formulated in the form of a Java computer application. Three decision trees are implemented for the purpose of ascertaining the type of gold deposit. If two decision trees yield a consensus on a particular type, the ore type identification is made accordingly. To validate the outcome, the user is prompted to respond to a series of questions pertaining to the identified type, with the accuracy rate of the responses must exceed 90%. Failure to meet this criterion will result in the decision tree being revisited, and the accurate data will need to be re-entered.
Analysis of Coal Seam Identification Based on Drilling Data in Nunukan Regency, North Kalimantan Mukarramah, A. Aenul Tul; Anshariah2, Anshariah; Budiman, Agus Ardianto
Journal of Geology and Exploration Vol. 3 No. 2 (2024): Journal of Geology and Exploration, December 2024
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58227/jge.v3i2.187

Abstract

Coal deposition results in the formation of continuous layers with specific thicknesses and slopes. This study aimed to determine coal seams based on drilling data. The method involved correlating the rocks flanking the coal seams using AutoCAD 2014 software. The findings revealed that points BC-054, BC-045, and BC-038 belong to the same coal seam based on the associated flanking rocks. Similarly, points BC-029, BC-022, BC-004, and BC-087 were also found to be interconnected within a coal seam, sharing similar thicknesses and clamping rock layers. However, the third layer at BC-087 does not correspond with other boreholes and is categorized as a separate seam. Correlation analysis identified three coal seams with an average thickness ranging from 0.6 m to 1.7 m.

Page 3 of 4 | Total Record : 35

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