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Geographic Information System Application for Prospecting the Sandstone-type Uranium Deposit in the Melawi Region, West Kalimantan, Indonesia.

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Title: Geographic Information System Application for Prospecting the Sandstone-type Uranium Deposit in the Melawi Region, West Kalimantan, Indonesia.
Alternate Title: Primjena geografskoga informacijskog sustava za istraživanje ležišta uranija pješčenjačkoga tipa u regiji Melawi, Zapadni Kalimantan, Indonezija.
Authors: Adimedha, Tyto Baskara1 tyto001@brin.go.id, Ciputra, Roni Cahya1, Indrastomo, Frederikus Dian1, Sukadana, I. Gde1, Syaeful, Heri1, Rachael, Yoshi1
Source: Rudarsko-Geološko-Naftni Zbornik. 2026, Vol. 41 Issue 3, p81-97. 17p.
Subject Terms: *Geographic information systems, *Prospecting, *Uranium mining, *Geological maps, *Fuzzy logic, *Physiographic provinces
Geographic Terms: Indonesia, Kalimantan (Indonesia)
Abstract (English): The Melawi region in Indonesia has been identified as a metamorphic-hosted uranium deposit. The occurrence of sedimentary formations in the downstream area suggests the potential for sandstone-type uranium deposits. Previous studies have concentrated on metamorphic-hosted mineralization, resulting in limited exploration of the sedimentary rocks. Geographic Information System (GIS) technology offers valuable support for mineral prospectivity analysis, including uranium exploration. Among various techniques, fuzzy logic has been demonstrated to be effective in generating prospectivity maps to guide uranium resource development. This research aims to develop a prospectivity map for a sandstone-type uranium deposit in the Melawi region. A GIS-based analysis is performed using available spatial datasets, including geological maps, digital elevation models, and uranium occurrences in Melawi. These datasets served as input for constructing a fuzzy logic model based on the genetic model of sandstone-type uranium deposits. The datasets were reclassified, assigned suitability scores, and operated within a fuzzy logic framework to generate a prospectivity map. The results indicate that 36.64% of the Melawi area is high prospectivity zones, 25.34% is medium prospectivity zones, and 38.02% is the low prospectivity zones. The northern part of Melawi exhibits the most favourability for sandstone-hosted uranium mineralization. This study demonstrates fuzzy logic as a practical tool to delineate the favourable area of a sandstone-type uranium deposit in Melawi. Nevertheless, incorporating more diverse spatial datasets and implementing systematic field validation is necessary to locate uranium deposits accurately. [ABSTRACT FROM AUTHOR]
Abstract (Bosnian): Regija Melawi u Indoneziji identificirana je kao metamorfno ležište uranija. Pojava sedimentnih formacija u nizvodnome području upućuje na potencijal za ležišta uranija pješčenjačkoga tipa. Prethodne studije usredotočile su se na metamorfnu mineralizaciju, što je rezultiralo ograničenim istraživanjem sedimentnih stijena. Tehnologija geografskoga informacijskog sustava (GIS) nudi vrijednu podršku za analizu mineralne perspektive, uključujući istraživanje uranija. Među raznim tehnikama pokazalo se da je fuzzy logika učinkovita u generiranju karata perspektivnosti za usmjeravanje razvoja resursa uranija. Cilj je ovoga istraživanja razvoj karte perspektivnosti za ležište uranija pješčenjačkoga tipa u regiji Melawi. Analiza temeljena na GIS-u provedena je korištenjem dostupnih prostornih skupova podataka, uključujući geološke karte, digitalne modele reljefa i pojave uranija u Melawiju. Ovi skupovi podataka poslužili su kao ulaz za izradu fuzzy logičkoga modela temeljenoga na genetskome modelu ležišta uranija pješčenjačkoga tipa. Skupovi podataka reklasificirani su, dodijeljeni su im bodovi prikladnosti i obrađeni su unutar okvira fuzzy logike za generiranje karte perspektivnosti. Rezultati pokazuju da je 36,64 % područja Melawi zona visoke perspektivnosti, 25,34 % zona srednje perspektivnosti, a 38,02 % zona niske perspektivnosti. Sjeverni dio Melawija pokazuje najpovoljnije uvjete za mineralizaciju uranija u pješčenjaku. Ova studija demonstrira fuzzy logiku kao praktičan alat za određivanje povoljnoga područja ležišta uranija pješčenjačkoga tipa u Melawiju. Ipak, za točno lociranje ležišta uranija potrebno je uključivanje raznolikijih prostornih skupova podataka i provedba sustavne terenske validacije. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
Description
Abstract:The Melawi region in Indonesia has been identified as a metamorphic-hosted uranium deposit. The occurrence of sedimentary formations in the downstream area suggests the potential for sandstone-type uranium deposits. Previous studies have concentrated on metamorphic-hosted mineralization, resulting in limited exploration of the sedimentary rocks. Geographic Information System (GIS) technology offers valuable support for mineral prospectivity analysis, including uranium exploration. Among various techniques, fuzzy logic has been demonstrated to be effective in generating prospectivity maps to guide uranium resource development. This research aims to develop a prospectivity map for a sandstone-type uranium deposit in the Melawi region. A GIS-based analysis is performed using available spatial datasets, including geological maps, digital elevation models, and uranium occurrences in Melawi. These datasets served as input for constructing a fuzzy logic model based on the genetic model of sandstone-type uranium deposits. The datasets were reclassified, assigned suitability scores, and operated within a fuzzy logic framework to generate a prospectivity map. The results indicate that 36.64% of the Melawi area is high prospectivity zones, 25.34% is medium prospectivity zones, and 38.02% is the low prospectivity zones. The northern part of Melawi exhibits the most favourability for sandstone-hosted uranium mineralization. This study demonstrates fuzzy logic as a practical tool to delineate the favourable area of a sandstone-type uranium deposit in Melawi. Nevertheless, incorporating more diverse spatial datasets and implementing systematic field validation is necessary to locate uranium deposits accurately. [ABSTRACT FROM AUTHOR]
ISSN:03534529
DOI:10.17794/rgn.2026.3.6