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Record W7161944441 · doi:10.82308/26369

The nature and origin of the bonanza-grade Brucejack epithermal Au-Ag deposit, northwestern British Columbia

2023· dissertation· en· W7161944441 on OpenAlexaboutno aff
Duncan McLeish

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsnot available
Fundersnot available
KeywordsHydrothermal circulationPrecipitationFlocculationSolubilitySaturation (graph theory)Fluid inclusions

Abstract

fetched live from OpenAlex

Hydrothermal veins supply much of the Earth’s gold. Their propensity to contain ultra-high-grade, or ‘bonanza’, concentrations of gold that are millions of times greater than the concentration of gold in the Earth’s crust makes them important targets for exploration and resource development. The mechanisms by which such hyper-enrichment occurs are enigmatic. The accepted wisdom is that this enrichment reflects the saturation and precipitation of gold as crystals from hydrothermal fluids. Laboratory experiments and measurements of active hydrothermal systems, however, have shown that the solubility and concentration of this noble metal in typical ore-forming fluids are, respectively, exceptionally low. For example, gold concentrations in the fluids responsible for epithermal mineralisation are typically on the order of 10-30 ppb, which are far too low to explain concentrations of 10’s of thousands grams per tonne Au in veins in some deposits. The formation of such high-grade veins by direct precipitation of native gold or electrum from the ore fluids would require that individual fractures remain open for unreasonably long periods of time (e.g., >100,000 years) or that fluid fluxes be extraordinary. A potential solution to the paradox of ultra-high-grade gold ore formation, in a geologically realistic time-frame, is offered by the physical transport of gold in the solid state as electrically charged nanoparticles (i.e., colloidal suspensions) which flocculate to produce aggregates of gold. This study investigates gold mineralisation from the Valley of the Kings (VOK) and Eastern Promises (EP) zones of Brucejack, a large and exceptionally high-grade epithermal gold-silver deposit in British Columbia’s Stewart-Eskay District, to evaluate this possibility. Images obtained using transmitted electron microscopy show that: (1) gold commonly occurs as < 1-10 nm spherical nanocrystals of electrum embedded within a calcite matrix; and (2) larger (100-500 nm) particles of electrum, also embedded in calcite, are composed of hundreds of nanoparticles, each displaying distinct crystal lattice plane orientations. These images provide compelling evidence for the formation of colloidal suspensions of gold (electrum) and their flocculation. To better understand how flocculation occurs in a hydrothermal system, this study also examines the trace element and sulphur isotope signatures of pre- and rare syn-electrum pyrite at Brucejack. Secondary ion mass spectrometry (SIMS), laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), and electron microprobe wavelength-dispersive X-ray spectroscopy (EMP-WDS), reveal that the Brucejack hydrothermal system experienced a series of abrupt changes in fluid chemistry, which preceded and ultimately coincided with the onset of ultra-high-grade gold-silver mineralisation. These changes, which include the occurrence of extraordinarily negative δ34S values (e.g., -36.0‰) in zones of pre-electrum, auriferous, arsenian pyrite, followed by sharp increases of δ34S in syn-electrum zones of non-arsenian pyrite, were caused by vigorous, episodic boiling and subsequent inundation of the hydrothermal system by seawater. This influx of seawater was an essential step in creating bonanza electrum mineralisation by triggering the aggregation of colloidal gold suspensions through the addition of cationic flocculants and cooling

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.666
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.219
Teacher spread0.213 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

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