cover
Contact Name
Alam Budiman Thamsi
Contact Email
alam.budiman7@gmail.com
Phone
+6281241908133
Journal Mail Official
journal.geologyexploration@gmail.com
Editorial Address
Perumahan Bumi Tamalanrea Permai (BTP), Blok L, No. 2, Makassar, South Sulawesi Provice, Indonesia
Location
Kota makassar,
Sulawesi selatan
INDONESIA
Journal of Geology and Exploration
Published by CV. Insight Publisher
ISSN : -     EISSN : 29633869     DOI : https://doi.org/10.58227/jge
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.
Articles 35 Documents
Structure Control of Iron Ore Education on Sebuku Island Jamal Rauf Husain; Normansyah Normansyah; Hasbi Bakri
Journal of Geology and Exploration Vol. 1 No. 1 (2022): Journal of Geology and Exploration, June 2022
Publisher : CV Insight Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1468.538 KB) | DOI: 10.58227/jge.v1i1.2

Abstract

Sebuku is occupied by serpentinized ultramafic (peridotite) rocks, gabbro, and chert which are ophiolite series formed in the oceanic crust, in the middle occupied by tuff and claystones. The purpose of this study was to determine the distribution pattern of iron ore deposits. The research area illustrates that the distribution of Fe elements with high levels of >48% is concentrated in the northeast-southwest part, while Fe elements with levels of <48% are concentrated in the southwest-northwest part of the west. Based on the topographic classification of the research area. The pattern of mineralization follows the structural pattern that occurs, where the lateralization of the source rock is intensive in the crushing zone around the structure that forms the main structure and minor structure. This destruction zone serves as an effective water infiltration medium to accelerate the washing process which forms supergene enrichment zones. The pattern of distribution of mineralization is relatively Northeast-Southwest which in some places is characterized by the straightness of the ridge or morphology with more contrasting and prominent zones on the lidar mosaic map.
Classification of Ni Levels for Determination Cut-Off Grade in Region X Nurliah Jafar; Hendra Wahid; Sri Widodo
Journal of Geology and Exploration Vol. 1 No. 1 (2022): Journal of Geology and Exploration, June 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.217 KB) | DOI: 10.58227/jge.v1i1.3

Abstract

The need for ore with levels above 1.8% presents the author's initiative to conduct research to produce ore products with the required levels. The aim is to find out the lowest grade of ore that can be mined and used as a cut-off grade in area x. The research method used is the blending method. Some of the data needed include the drill point coordinates, the borehole's depth, the borehole, the slope of the borehole, lithology, and the value of Ni content. The distribution of nickel in the x region is dominated by ore which has a grade of 1 to 2% with a total volume of 140,100 Bcm, and there is a small amount of nickel that has a rate above 2% with an importance of 15,650 Bcm. The mining sequence has been divided into three to three stages, where the tonnage obtained from each location is 8,9937 tons, 442361 tons, and 100,554 tons. The simulation of blending steps was carried out starting from the classification of nickel with the highest grade, namely nickel with the lowest rate of 1.8% with an average rise of 2.07%, to the last stage, which produces a middle grade of 1.9%, namely in the classification of nickel with rates above 1.6 %. From the results of the blending simulation that has been carried out, it can be concluded that the lowest grade that can be used as a cut-off grade in area x is ore with a Ni content of 1.6%.
Calculation of PIT 4 Coal Reserves with Cross-Cross Method Shabiruddin Shabiruddin; Anshariah Anshariah; Hasbi Bakri
Journal of Geology and Exploration Vol. 1 No. 1 (2022): Journal of Geology and Exploration, June 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.064 KB) | DOI: 10.58227/jge.v1i1.4

Abstract

Calculating coal reserves using the vertical section method can describe the condition of deposits and overburden in each section. This study aimed to determine the direction of coal distribution, the volume of overburden, and the volume of coal using the cross-section method and to obtain the stripping ratio (SR). In this research activity, data is needed in the form of documentation on pit 4, cross-section, drill logs, and coordinates of drill points. After all the data has been collected, it is continued by making a cross-section in the form of a horizontal (cross-section) using Auto Cad software. The final stage of the interpretation of the two data results is calculating the number of coal reserves, the amount of overburden (OB), and the stripping ratio value by the concept of continuity that has been carried out from the existing data.
Block Model of Laterite Nickel Reserve in the Sorowako Village Research Area, South Sulawesi Province Yunita Nurjayanty; Djamaluddin Djamaluddin; Agus Ardianto Budiman
Journal of Geology and Exploration Vol. 1 No. 1 (2022): Journal of Geology and Exploration, June 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (223.667 KB) | DOI: 10.58227/jge.v1i1.5

Abstract

The manufacture of laterite nickel deposit model blocks is one of the stages after exploration activities are carried out in an area that shows potential resources that are feasible to be exploited. The purpose of this study was to determine the tonnage value of an estimated resource of saprolite and limonite ore deposits in the drilling area. The research method is the implementation of fieldwork, which includes a survey of the area to be drilled, tools and materials used in drilling production, and determining the stages in making model blocks. The data used in this study are data from analysis of nickel content, data on the total depth of drill points, lithology data of laterite nickel profiles, and data on coordinates and elevation of drill points. In research conducted in the concession area of ​​the research area with a number of drill points of as many as 275 points and a drill spacing of 25 meters and 50 meters, the number of resources that have been calculated in the form of a 3D block model and a cross-sectional vertical correlation where in the limonite layer the volume value is obtained. of 757,031 m3 with an average Ni content: 0.84%, while the saprolite layer obtained a volume value of 210,781 m3 with an average Ni content: 1.80%. The conclusion obtained is that the tonnage value for the limonite layer is 1,211,250 tons, and for the saprolite layer the tonnage value is 400,484 tons.
Comparative Analysis of Mined Reserve Tonnage on "M" Hill Between Mine Plan and Mining Realization Djamaluddin Djamaluddin; Mulhadramy Mulhadramy; Nurliah Jafar
Journal of Geology and Exploration Vol. 1 No. 1 (2022): Journal of Geology and Exploration, June 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.487 KB) | DOI: 10.58227/jge.v1i1.6

Abstract

In mining activities, there is often a discrepancy between the plan and actual conditions in the field; if not identified early, this discrepancy will undoubtedly have the potential to cause losses if it continues to repeat itself. This study aimed to determine the factors driving the difference between the mine plan and mining realization. This research uses Pit design data, mine progress measurement data, material movement data, and two mine plan data, namely the backup plan model resulting from detailed exploration and the backup plan model data from the input drill results. From the results of the mine plan research, the closest to realization is the plan using input drill data with an average material movement difference of 10% and the difference in mined ore reserves an average of 12%. In comparison, detailed exploration data with an intermediate material movement difference of 12% to 42% and the contrast in mined ore reserves is 52% on average. The presence of overcuts influences this and the use of different densities.
Coal Quality Analysis Based on Proximate and Ultimate Test Results in Massenreng Pulu Village, Lamuru District, Bone Regency Bakri, Suriyanto; Jefri, J; Widodo, Sri
Journal of Geology and Exploration Vol. 1 No. 2 (2022): Journal of Geology and Exploration, December 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3036.684 KB) | DOI: 10.58227/jge.v1i2.7

Abstract

Coal is one of the minerals that has an important role in the mining industry in Indonesia. Massenreng Pulu Village, Lamuru District, Bone Regency, South Sulawesi Province is an area that has coal resources, the quality of coal in that area needs to be known. The quality of coal has a very important role in the utilization of coal. Coal quality parameters will affect the intended use of coal. The purpose of this study was to analyze the quality of coal based on the proximate and ultimate analysis tests. The sampling method was channel sampling, samples from the field were then brought to the laboratory for preparation and analysis proximately and ultimately. The results of the proximate analysis of coal samples contained an average moisture content of 15.75% ar, ash content of 3.48% ar, volatile matter of 42.35% ar and fixed carbon of 37.91% ar while the results of the ultimate analysis of coal samples contained an average of 66.52% carbon. wt, 4.6% wt hydrogen, 0.93% wt nitrogen and 23.05 wt oxygen. Based on the ash content, if classified according to The UNECE 1998 classification of in seam coals, it can be seen that the rank of coal in the study area is classified as high grade coal.
Mapping of Nickel Laterite Resources Using Geographical Information Systems (Sig), Case Study Koninis Region, Central Sulawesi Province Firdaus, F; Bakri, Suriyanto; Arman, Muh.
Journal of Geology and Exploration Vol. 1 No. 2 (2022): Journal of Geology and Exploration, December 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5841.97 KB) | DOI: 10.58227/jge.v1i2.8

Abstract

The Map Banggai geology sheet especially Bunta has ultramafic rocks so it needs to be mapping the laterite nickel resources. This study aims to determine the spread, determine the levels of mineral elements contained and determine the estimated nickel laterite resource in the research area. The research method was carried out by taking field data and testing the sample levels then analyzed using the application of Geographic Information Systems (GIS). The results showed that the distribution of laterite nickel was found in the ultramafic unit area with elevations between 110 - 170 m which extended from north to south of the research area with an area of ​​29.25 ha, levels of Ni elements for Cut Off Grade (COG) were 1.6% and Fe 34.29% with a thickness of 3 m and an estimated nickel laterite (hypothetical) resource of 1,140,750 tons.
Spread Of Laterite Nickel Based on Drill Data at PT Manunggal Sarana Surya Pratama, Southeast Sulawesi Province Aswadi, Muhammad; Rauf Husain, Jamal; Gazali, Ahmad; Budiman Thamsi, Alam
Journal of Geology and Exploration Vol. 1 No. 2 (2022): Journal of Geology and Exploration, December 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (830.979 KB) | DOI: 10.58227/jge.v1i2.9

Abstract

Modeling of nickel laterite resources is intended to determine the distribution of resources represented in the form of block models. The results of resource modeling indicate the shape and distribution of mineral deposits which can facilitate the mining process and can predict mining boundaries referring to the results of resource modeling. The purpose of this study was to determine the thickness of the saprolite zone layer and the distribution direction of nickel laterite based on drill point data. The data used in the laterite nickel resource modeling are exploration drill data, drill coordinates, and exploration grade classification. Data processing and analysis methods apply block modeling and the variogram method to determine the distribution direction of nickel resources. Based on the results of the cross-section profiles in Section 1 to Section 7, the average thickness of saprolite is 6,605 m, and the block model layer of saprolite which shows high levels of red color (Ni 1.9 - so on) is the most in the north, pink color (Ni 1.5-1.89) is in the north direction before the Ni 1.9 level above, the green color (Ni 1.3-1.49) is in the east and south.
Estimation Of Coal Resources Using the Method Polygon In Bulungan Regency North Kalimantan Province Anshariah, Anshariah; Bintang Akbar , Achmed; Ardianto Budiman, Agus
Journal of Geology and Exploration Vol. 1 No. 2 (2022): Journal of Geology and Exploration, December 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.027 KB) | DOI: 10.58227/jge.v1i2.10

Abstract

This research was conducted at one of the national companies engaged in coal mining. The Mining Business Permit (IUP) area in Bulungan Regency, North Kalimantan Province, has an area of 1,000 Ha Mining Business Permit (IUP). The purpose of this research is to find out the average thickness of coal and the measurable resources of coal and its tonnage. The polygon method is a calculation with the basic concept, which states that a certain point represents all sediment characteristics of an area. The data needed in this study are survey data, geological data, collar data, thickness, and topographic data (str). From observational data in the field, 31 drill logs were obtained with an average drill log depth of 6.75 meters with a measured volume of coal resources of 33,341,065 and a measured tonnage of coal resources of 50,711,759 MT, with a density of (1.3 tonnes/m3).
Groundwater Study in Makassar Region With Using Geoelectricity Resistant Type Nawir, Alfian; Kamal, Zulkifli; Anshariah, Anshariah
Journal of Geology and Exploration Vol. 1 No. 2 (2022): Journal of Geology and Exploration, December 2022
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Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1327.026 KB) | DOI: 10.58227/jge.v1i2.11

Abstract

One area that has the potential to experience problems with the management and utilization of groundwater is the Makassar area. Several locations in Makassar are experiencing drought, while groundwater is abundant in other parts. In some places, groundwater availability is quite good, but it isn't easy to obtain in others. Of course, this cannot be separated from the hydrogeological conditions in the Makassar area. The purpose of this research is to identify and map the distribution of groundwater in Makassar City. The research uses the resistivity method, with data including potential values, currents, span length, and rock types found in the research location. Based on the resistivity section, there are two types of groundwater: fresh and brackish. The water is brackish in GL1, with a resistivity range of 2.14 – 22.7 Ohm.m. In GL2, with a resistivity range of 0.1 – 728 Ohm.m, the water is Brackish - Fresh, and in GL3, with a resistivity range of 4.47 – 40.1 Ohm.m. The characteristics of the aquifer in the Makassar area are intermittent based on the depth level.

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