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GEOLOGI, MINERALOGI, DAN GEOKIMIA ENDAPAN BAUKSIT LATERIT DI DESA MUKTI JAYA, KABUPATEN SANGGAU, KALIMANTAN BARAT: GEOLOGY, MINERALOGICAL, AND GEOCHEMICAL LATERITE BAUXITE DEPOSITS IN MUKTI JAYA VILLAGE, SANGGAU DISTRICT, WEST KALIMANTAN Permatasari, Aisha; Sabtanto Joko Suprapto; Priatna; Tatik Handayani; Dedi Sunjaya
Buletin Sumber Daya Geologi Vol 19 No 2 (2024): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v19i2.477

Abstract

The geology of West Kalimantan, especially Sanggau Regency, contains a wide range of acidic to intermediate rocks of Lower Cretaceous age with stable tectonic conditions that meet the requirements for the formation of bauxite on an economical scale. The research area is in Mukti Jaya Village, Sanggau Regency, West Kalimantan Province. This research aims to determine the geology, mineralogical, and geochemical characteristics of bauxite deposits. The research methodology includes geological mapping, test pits, and laboratory analysis using XRF, A total of 390 bauxite samples were analyzed by XRF, 5 bauxite samples were analyzed by XRD, 4 bedrock samples and 2 bauxite samples were analyzed petrographically, and 2 bauxite concretion samples were analyzed mineragraphically. Based on the results of geological mapping, granodirite, quartz diorite and tonalite rocks were found. Bauxite is composed of the minerals quartz, gibbsite, kaolinite, hematite, biotite, boehmite, goethite, diaspor, muscovite, plagioclase, chlorite, and magnetite. From the results of XRF analysis content obtained 16.63% – 52.56% Al2O3; 14.5% – 66.69% TSiO2; 0.47% – 10.2% RSiO2; and 3.56% – 32.92% Fe2O3. The results of the correlation analysis showed a very strong and negatively correlated level of relationship between Al2O3 and TSiO2, as well as a very low level of relationship between Al2O3 and RSiO2. From the results of the regression analysis, it was found that TSiO2 had an effect on Al2O3 and RSiO2 had no effect on Al2O3.
ESTIMASI SUMBER DAYA BAUKSIT MENGGUNAKAN METODE ORDINARY KRIGING DI KECAMATAN MELIAU, KALIMANTAN BARAT: ESTIMATION OF BAUXITE RESOURCES BASED ON ORDINARY KRIGING METHODS AT KECAMATAN MELIAU, WEST KALIMANTAN Westia Alifah Surya Pratiwi; Denny Lumban Raja; Priatna; Sarah Mutia; Dedi Sunjaya
Buletin Sumber Daya Geologi Vol 19 No 2 (2024): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v19i2.492

Abstract

The estimation of mineral resources is crucial in mining, particularly in determining production targets, pit design, and investment decisions. Accurate resource estimation results will facilitate optimal mine planning. The objective of this study is the application of estimation techniques that consider geostatistics, namely ordinary kriging, in estimating bauxite deposit resources. The research location is in the laterite arc of West Kalimantan. The data used for estimation are exploration data from 212 test pit locations. The aim of this study is to identify the lithology of the bauxite deposit, distribution of grades, and estimate bauxite resources as well as determine the optimal spacing of test pits as a basis for resource classification in the study area. Petrographic analysis was conducted on four samples to determine the lithology. The study results indicate that the lithology forming the bauxite deposit consists of granodiorite, quartz diorite, and granite. The bauxite deposits in the study area are predominantly derived from granodiorite with high content, thus characterizing the bauxite as kaolinitic bauxite. The bauxite resource estimation results, based on a cut-off grade of >35%, <8%, dan ≤30%, amounted to 722,720 tons of washed bauxite, with an average grade of 39,78% , dan 25,05% , with a concretion factor of 48.44%. The inferred washed bauxite resources are 146,962 tons, the indicated resources are 550,482 tons, and the measured resources are 221,643 tons. Based on the sill variogram calculation, the optimal spacing for test pits for bauxite exploration in the study area with resource classification is 100 m for inferred, 50 m for indicated, and 25 m for measured resources.
GEOLOGI, MINERALOGI, DAN GEOKIMIA ENDAPAN BAUKSIT LATERIT DI DESA MUKTI JAYA, KABUPATEN SANGGAU, KALIMANTAN BARAT: GEOLOGY, MINERALOGICAL, AND GEOCHEMICAL LATERITE BAUXITE DEPOSITS IN MUKTI JAYA VILLAGE, SANGGAU DISTRICT, WEST KALIMANTAN Permatasari, Aisha; Sabtanto Joko Suprapto; Priatna; Tatik Handayani; Dedi Sunjaya
Buletin Sumber Daya Geologi Vol 19 No 2 (2024): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v19i2.477

Abstract

The geology of West Kalimantan, especially Sanggau Regency, contains a wide range of acidic to intermediate rocks of Lower Cretaceous age with stable tectonic conditions that meet the requirements for the formation of bauxite on an economical scale. The research area is in Mukti Jaya Village, Sanggau Regency, West Kalimantan Province. This research aims to determine the geology, mineralogical, and geochemical characteristics of bauxite deposits. The research methodology includes geological mapping, test pits, and laboratory analysis using XRF, A total of 390 bauxite samples were analyzed by XRF, 5 bauxite samples were analyzed by XRD, 4 bedrock samples and 2 bauxite samples were analyzed petrographically, and 2 bauxite concretion samples were analyzed mineragraphically. Based on the results of geological mapping, granodirite, quartz diorite and tonalite rocks were found. Bauxite is composed of the minerals quartz, gibbsite, kaolinite, hematite, biotite, boehmite, goethite, diaspor, muscovite, plagioclase, chlorite, and magnetite. From the results of XRF analysis content obtained 16.63% – 52.56% Al2O3; 14.5% – 66.69% TSiO2; 0.47% – 10.2% RSiO2; and 3.56% – 32.92% Fe2O3. The results of the correlation analysis showed a very strong and negatively correlated level of relationship between Al2O3 and TSiO2, as well as a very low level of relationship between Al2O3 and RSiO2. From the results of the regression analysis, it was found that TSiO2 had an effect on Al2O3 and RSiO2 had no effect on Al2O3.
ESTIMASI SUMBER DAYA BAUKSIT MENGGUNAKAN METODE ORDINARY KRIGING DI KECAMATAN MELIAU, KALIMANTAN BARAT: ESTIMATION OF BAUXITE RESOURCES BASED ON ORDINARY KRIGING METHODS AT KECAMATAN MELIAU, WEST KALIMANTAN Westia Alifah Surya Pratiwi; Denny Lumban Raja; Priatna; Sarah Mutia; Dedi Sunjaya
Buletin Sumber Daya Geologi Vol 19 No 2 (2024): Buletin Sumber Daya Geologi
Publisher : Pusat Sumber Daya Mineral Batubara dan Panas Bumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47599/bsdg.v19i2.492

Abstract

The estimation of mineral resources is crucial in mining, particularly in determining production targets, pit design, and investment decisions. Accurate resource estimation results will facilitate optimal mine planning. The objective of this study is the application of estimation techniques that consider geostatistics, namely ordinary kriging, in estimating bauxite deposit resources. The research location is in the laterite arc of West Kalimantan. The data used for estimation are exploration data from 212 test pit locations. The aim of this study is to identify the lithology of the bauxite deposit, distribution of grades, and estimate bauxite resources as well as determine the optimal spacing of test pits as a basis for resource classification in the study area. Petrographic analysis was conducted on four samples to determine the lithology. The study results indicate that the lithology forming the bauxite deposit consists of granodiorite, quartz diorite, and granite. The bauxite deposits in the study area are predominantly derived from granodiorite with high content, thus characterizing the bauxite as kaolinitic bauxite. The bauxite resource estimation results, based on a cut-off grade of >35%, <8%, dan ≤30%, amounted to 722,720 tons of washed bauxite, with an average grade of 39,78% , dan 25,05% , with a concretion factor of 48.44%. The inferred washed bauxite resources are 146,962 tons, the indicated resources are 550,482 tons, and the measured resources are 221,643 tons. Based on the sill variogram calculation, the optimal spacing for test pits for bauxite exploration in the study area with resource classification is 100 m for inferred, 50 m for indicated, and 25 m for measured resources.
Co-Authors Denny Lumban Raja Permatasari, Aisha Priatna Sabtanto Joko Suprapto Sarah Mutia Tatik Handayani Westia Alifah Surya Pratiwi