A reference library of thermal infrared mineral reflectance spectra for the HyLogger-3 drill core logging system

Schodlok, Martin C.; Green, A.; Huntington, J.F.

doi:10.1080/08120099.2016.1234508

Cited by 20 publications

(20 citation statements)

References 36 publications

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“…The drill cores were scanned using the HyLogger‐3 system and the methods outlined by Hancock and Huntington (2010), Hancock et al (2013) and Schodlok et al (2016) to determine the presence and relative abundance of minerals and to establish continuous mineral logs. The HyLogger‐3 scanners acquired continuous reflectance spectra along each drill core covering the visible‐near‐infrared (VNIR: 380–1000 nm), shortwave infrared (SWIR: 1000–2500 nm) and thermal infrared (TIR: 6000–14,500 nm) wavelength region of the electromagnetic spectrum (Hancock & Huntington, 2010; Huntington et al, 1997; Schodlok et al, 2016). High‐resolution (0.1 mm pixel) imaging of the core was also acquired during the scan and compiled with reflectance spectral data in continuous 4 mm intervals along the core (Schodlok et al, 2016).…”

Section: Sampling and Analytical Methodsmentioning

confidence: 99%

“…Therefore, lower representation of minor mineral components within mixed assemblages can be expected. Validation of TSA mineral matches was completed via visual comparison of acquired spectra to reference library spectra and manually refining the TSA matching scalars to produce a final user-guided mineral match (Schodlok et al, 2016).…”

Section: Mineralogical Analysis From Continuous Spectral Reflectance ...mentioning

confidence: 99%

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Microbial influence on dolomite and authigenic clay mineralisation in dolocrete profiles of NW Australia

et al. 2023

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Dolomite (CaMg(CO3)2) precipitation is kinetically inhibited at surface temperatures and pressures. Experimental studies have demonstrated that microbial extracellular polymeric substances (EPS) as well as certain clay minerals may catalyse dolomite precipitation. However, the combined association of EPS with clay minerals and dolomite and their occurrence in the natural environment are not well documented. We investigated the mineral and textural associations within groundwater dolocrete profiles from arid northwest Australia. Microbial EPS is a site of nucleation for both dolomite and authigenic clay minerals in this Late Miocene to Pliocene dolocrete. Dolomite crystals are commonly encased in EPS alveolar structures, which have been mineralised by various clay minerals, including montmorillonite, trioctahedral smectite and palygorskite‐sepiolite. Observations of microbial microstructures and their association with minerals resemble textures documented in various lacustrine and marine microbialites, indicating that similar mineralisation processes may have occurred to form these dolocretes. EPS may attract and bind cations that concentrate to form the initial particles for mineral nucleation. The dolomite developed as nanocrystals, likely via a disordered precursor, which coalesced to form larger micritic crystal aggregates and rhombic crystals. Spheroidal dolomite textures, commonly with hollow cores, are also present and may reflect the mineralisation of a biofilm surrounding coccoid bacterial cells. Dolomite formation within an Mg‐clay matrix is also observed, more commonly within a shallow pedogenic horizon. The ability of the negatively charged surfaces of clay and EPS to bind and dewater Mg2+, as well as the slow diffusion of ions through a viscous clay or EPS matrix, may promote the incorporation of Mg2+ into the mineral and overcome the kinetic effects to allow disordered dolomite nucleation and its later growth. The results of this study show that the precipitation of clay and carbonate minerals in alkaline environments may be closely associated and can develop from the same initial amorphous Ca–Mg–Si‐rich matrix within EPS. The abundance of EPS preserved within the profiles is evidence of past microbial activity. Local fluctuations in chemistry, such as small increases in alkalinity, associated with the degradation of EPS or microbial activity, were likely important for both clay and dolomite formation. Groundwater environments may be important and hitherto understudied settings for microbially influenced mineralisation and for low‐temperature dolomite precipitation.

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Section: Sampling and Analytical Methodsmentioning

confidence: 99%

Section: Mineralogical Analysis From Continuous Spectral Reflectance ...mentioning

confidence: 99%

Microbial influence on dolomite and authigenic clay mineralisation in dolocrete profiles of NW Australia

et al. 2023

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“…The VNIR range (approximately 400-1000 nm) is suitable for investigations of microstructures that are highlighted by Fe-oxide minerals (Cudahy and Ramanaidou, 1997;Morris and Ramanaidou, 2007). In rocks where variations in quartz and feldspar minerals show the rock microstructure, the LWIR (for instance between 7500 and 13,000 nm) (e.g., Schodlok et al, 2016a) could be used to capture the microstructural elements. Rocks consisting of grains of a single mineral will not produce spectral contrast between grains and will produce a homogeneous mineral map consisting of one type of mineral.…”

Section: Potential Applicationsmentioning

confidence: 99%

Measuring rock microstructure in hyperspectral mineral maps

Ruitenbeek

Werff

Bakker

et al. 2019

Remote Sensing of Environment

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“…Figure 11 shows representative spectra of ore and waste material samples. Using spectral libraries (NASA 2017) and evidence reported by other authors (Ji et al 2009;Schodlok et al 2016), different minerals-including dolomite, muscovite, quartz, calcite and gypsum-were identified. The sulphide minerals exhibit very weak spectral features in the IR reflectance data that a direct interpretation of target minerals spectra is challenging.…”

Section: Data Pre-processing and Modellingmentioning

confidence: 99%

Chemometric Analysis of Mid-Wave Infrared Spectral Reflectance Data for Sulphide Ore Discrimination

Desta

Buxton

2018

Math Geosci

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Despite significant recent advancements in the sensor technologies, the use of sensors for raw material characterization in the mining industry remains limited. The aim of the present study was to assess the utility of applying the mid-wave infrared (MWIR) reflectance data acquired by the use of a handheld Fourier-transform infrared spectrometer (FTIR), combined with partial least squares-discriminant analysis (PLS-DA), for the characterization of a polymetallic sulphide ore deposit. In achieving the study objectives, focus was given to the MWIR portion of the FTIR dataset, as it is the least explored region of the infrared spectrum in mineral characterization studies. Three datasets-covering different wavelength ranges-were generated from the FTIR spectral data, namely the full FTIR range (2.5-15 µm), MWIR (2.5-7 µm) and long-wave infrared (LWIR: 7-15 µm), in order to investigate the associated information level of each defined wavelength region separately. Design of experiment was developed to determine the optimal data filtering techniques. Using the processed data and PLS-DA, a series of calibration and prediction models were developed for ore and waste materials separately. As the models applied to the MWIR data showed a successful classification rate of 86.3% for sulphide ore-waste discrimination, similarly using the full spectral FTIR dataset, a correct classification rate of 89.5% was achieved. This indicates that MWIR spectral range includes informative signals that are sufficient for classifying the material into ore or waste. The proposed approach could be extended for automating the sulphide ore-waste discrimination process, thus greatly benefiting marginally economical mining operations.

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A reference library of thermal infrared mineral reflectance spectra for the HyLogger-3 drill core logging system

Cited by 20 publications

References 36 publications

Microbial influence on dolomite and authigenic clay mineralisation in dolocrete profiles of NW Australia

Microbial influence on dolomite and authigenic clay mineralisation in dolocrete profiles of NW Australia

Measuring rock microstructure in hyperspectral mineral maps

Chemometric Analysis of Mid-Wave Infrared Spectral Reflectance Data for Sulphide Ore Discrimination

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