MétaCan
Menu
Back to cohort
Record W2262242371 · doi:10.1093/petrology/egv080

Sulfide Liquid Entrainment by Silicate Magma: Implications for the Dynamics and Petrogenesis of Magmatic Sulfide Deposits

2015· article· en· W2262242371 on OpenAlexfundaboutno aff
B M Saumur, Alexander R. Cruden, D. Boutelier

Bibliographic record

VenueJournal of Petrology · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of TorontoMonash UniversityCommonwealth Scientific and Industrial Research Organisation
KeywordsSulfideMaficGeologySilicateGeochemistryFelsicMagmaMagma chamberEntrainment (biomusicology)PetrologyChemistryVolcanoPhysics

Abstract

fetched live from OpenAlex

Many intrusion-hosted Ni–Cu magmatic sulfide deposits, such as Voisey’s Bay (Labrador, Canada) and Jinchuan (China), show evidence for late-stage mobilization of high-density, low-viscosity sulfide-rich melts, which range from sulfide-rich silicate magma pulses to coherent pulses of pure sulfide liquid. Here we investigate the possibility that such sulfide-rich pulses can be generated by the upward entrainment of pooled sulfide liquid by immiscible silicate magma within a two-phase, density-stratified staging chamber. The potential degree of entrainment is measured by the critical draw-up height d , defined as the height of the overlying silicate magma at which the lower sulfide liquid will be mobilized and entrained during withdrawal of silicate magma from the chamber. Previous analytical solutions for axisymmetric withdrawal from a density-stratified reservoir have focused on the volcanology of bimodal, felsic–mafic silicate magma systems. We present new laboratory experiments of axisymmetric withdrawal that are tuned to the physical properties of mafic–sulfide systems, and find that the draw-up scales previously applied to felsic–mafic systems can be applied to both viscous and inertial entrainment of sulfide liquid into silicate magma. Within viscous (Reynolds number, Re < 10) to transitional regimes (Re ∼ 10–1000) d is dependent on the viscosity of the mafic layer, but independent of the viscosity of the sulfide layer; at a given volumetric magma flow rate ( Q ), higher viscosity mafic magmas will be more efficient sulfide entrainers than lower viscosity magmas. Entrainment is independent of viscosity within inertial regimes (Re > 1000). In all dynamic regimes d is proportional to Q and inversely proportional to the density difference between the fluids. Significant mobilization and entrainment of sulfide liquid, as indicated by predicted draw-up cones with d between 1 and 10 m, can occur under inertial conditions at high ( Q ∼ 1–1000 m 3 s –1 ) magma volumetric flow rates that are plausible for mid- to upper-crustal magma chambers. Although entrainment can potentially generate sulfide-rich magma pulses, it probably represents only an initial step in the mobilization of sulfide liquid and the genesis of magmatic sulfide deposits. Entrained sulfide liquids must be transported upwards and/or laterally from their site of mobilization towards their site of deposition, which may occur as coherent masses or as droplets depending on the dynamics of the system. Although entrainment may be viable at the scale of sills, dykes, chonoliths and lava flows, it may not be significant in scenarios where significant (>100 m) thicknesses of molten mafic magma must be expelled prior to reaching 1–10 m scale critical draw-up heights; in such scenarios gravitational backflow of sulfide may be a more viable mechanism for producing economic concentrations of Ni–Cu sulfide mineralization.

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 score0.034
Threshold uncertainty score0.210

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 integrity0.0000.000
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 head0.015
GPT teacher head0.223
Teacher spread0.208 · 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

Citations31
Published2015
Admission routes2
Has abstractyes

Explore more

Same venueJournal of PetrologySame topicGeological and Geochemical AnalysisFrench-language works237,207