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Application of muon tomography in bauxite exploration

Authors: Marko Holma; László Balázs; Gergely Surányi; Sándor Demők; Pasi Kuusiniemi;

Application of muon tomography in bauxite exploration

Abstract

Muon-based imaging, utilizing radiographic and tomographic techniques, is a powerful tool for detecting subsurface structures based on density contrasts. Unlike conventional geophysical methods, which are influenced by subsurface material properties, muography maps density along nearly straight muon paths, enabling high-resolution imaging even of small or deeply buried features. Detecting bauxite lenses beneath thick carbonate cover is particularly difficult using standard geophysics. In the Jajce–Poljane area of Bosnia and Herzegovina, we conducted muographic measurements from an underground adit beneath a known bauxite lens, using borehole data to guide detector placement. The bauxite–limestone density contrast may be as low as 0.3–0.4 g/cm3. The lens is overlain by ∼50 m of limestone, beneath irregular karstic topography. Simulations conducted in this study indicated that the lens should be detectable despite its modest density contrast. The muon tomographic survey from the adit at 1036 m elevation probably successfully imaged the lens, delineating its lowermost and uppermost extents at approximately 1062 and 1072 m, respectively, confirming the simulation predictions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Top 10%
Average
Average
Green
hybrid