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Record W7014807776

The regolith expression of gold mineralisation in the Central Gawler Craton, South Australia: examples from the Tunkillia Gold Prospect and the surrounding region

2014· dissertation· en· W7014807776 on OpenAlexaboutno aff

Bibliographic record

VenueAdelaide Research & Scholarship (AR&S) (University of Adelaide) · 2014
Typedissertation
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
FundersCommonwealth Scientific and Industrial Research Organisation
KeywordsRegolithSaproliteCratonYilgarn CratonLateriteMetallogenyMineralMicaBedrock
DOInot available

Abstract

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Transported and typically weathered material that covers much of Australia presents a challenge to the successful application of surficial geochemical exploration methods. The Gawler Craton of South Australia is host to world-class IOCG-U style (viz. Olympic Dam and Prominent Hill) and Au (Challenger) deposits. Exploration in this region is a challenging enterprise, where 90% of the crystalline basement is under sedimentary cover. Geochemical sampling of regolith materials, such as pedogenic carbonate, has been attempted across the Gawler Craton to target buried mineralisation. However, results have been equivocal because the calcrete is potentially transported, poorly developed, or absent. Plant biogeochemistry has also emerged as a tool for mineral exploration, as it has been attributed to the discovery of mineralisation in regional-scale surveys in Canada, however, Australian applications have been limited. The Tunkillia Au Prospect (Mungana Goldmines Ltd.), in the central Gawler Craton, was first recognised on a 50 km² area of elevated Au-in-calcrete (> 10 ppb). The Prospect has a challenging exploration context: pervasive sand dunes and leached saprolite cover mineralisation that is at depths greater than 50 m. Gold content in the surface materials does not always represent underlying mineralisation, and this has misled previous exploration targeting in the area. In this thesis I show that a detailed analysis of the transported and residual regolith in three profiles to a depth of 50 m indicates that despite deep weathering, geochemical and mineralogical indicators of mineralisation are retained. The saprolite is predominantly kaolinite with relic feldspar in each of the profiles. White mica (muscovite and phengite) is abundant in the saprolite from the site of main mineralisation (Area-223). The white mica is distinguished using Hylogger™ and/or X-ray diffraction, and is characterised by Rb concentrations > 175 ppm using portable XRF instruments. Results from biogeochemical and calcrete sampling conducted across parts of the Tunkillia Au Prospect are interpreted in the context of landscape setting. Plant and calcrete Au results are similar at the prospect scale that suggests that the plants are accessing the Au from calcrete. The Au-in-calcrete anomaly is controlled by palaeo-drainage. Gold within calcrete is restricted to detrital sand pods, indicating the Au is transported within sediments from an upslope source. Silver and Te in plant leaves also indicate upslope mineralisation, highlighting areas of the Prospect that warrant further investigation. Biogeochemical pathfinders of metre-scale mineralised veins in the Glenloth and Earea Dam goldfields west of Lake Harris I found were Au, Ag, Bi, Cu, Sn, Te and U. Biogeochemical sampling was implemented in regional surveys (20 – 200 km²) alongside regolith geochemical sampling. Calcrete development is generally irregular, whereas plant samples could be collected at regular intervals. Biogeochemical sampling was able to delineate underlying geology, particularly the Gawler Range Volcanics (high Pb) and Deception Hill basalt (high Re). Biogeochemical results were also found to be influenced by landscape processes such as mechanical and hydromorphic element mobility along drainage and aeolian contamination in open chenopod shrublands and near unsealed roads.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.635

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.080
GPT teacher head0.295
Teacher spread0.215 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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