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Record W2146054575 · doi:10.2113/econgeo.108.7.1523

Modeling the Formation of Advanced Argillic Lithocaps: Volcanic Vapor Condensation Above Porphyry Intrusions

2013· article· en· W2146054575 on OpenAlexaff
Jeffrey W. Hedenquist, Yuri Taran

Bibliographic record

VenueEconomic Geology · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological and Geochemical Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsArgillic alterationAluniteGeologyHypogenePyrophylliteRhyoliteGeochemistryAndesiteMineralogyQuartzHydrothermal circulationSphaleriteVolcanic rockVolcanoPyrite

Abstract

fetched live from OpenAlex

Hypogene advanced argillic alteration, typically quartz-alunite with halos of kaolinite ± dickite and roots of pyrophyllite ± diaspore, forms in the epithermal environment from condensates of magmatic vapor that contain SO2 and HCl, which exsolved from an underlying intrusive source. The most aggressive, nearly isochemical leaching of the host rock by the most acidic condensate, commonly pH ~1, leaves residual silica that recrystallizes to quartz within the flow channel at a high condensate/rock ratio, forming the core of alteration. The alteration characteristically flares upward along feeder structures, and if a permeable lithologic unit is intersected, the alteration zones mushroom to form a subhorizontal blanket due to lateral flow. Where subsequently mineralized, the residual quartz, commonly with a vuggy texture that reflects the texture of the original lithology, has higher Au (and Cu) grades than the quartz-alunite halo. Tonnage in these high sulfidation systems may develop within the subhorizontal lithocap, although the highest grades are typically confined to the structurally controlled feeders. We modeled a typical volcanic vapor condensate, starting with the measured composition of ≤877°C fumaroles from Satsuma Iwojima rhyolite dome, Japan, as it cooled and reacted with a host rhyolite; the predicted hydrothermal mineralogy reproduces the alteration pattern observed in lithocaps that host high sulfidation deposits. The modeling confirms that aluminum-rich minerals (pyrophyllite, diaspore, locally andalusite) are stable at higher temperature at depth, whereas at lower temperature and shallower depth, Na and K alunite become stable. At the lowest temperature ( 10:1), and where SO2 >>H2S in the original volcanic vapor; this SO2-dominant composition is typical of andesitic to rhyolitic volcanoes. The reason for this mineral transition, and the upward flare (widening) of the alteration zone along structures, is related to the dissociation and increased reactivity of H2SO4 and HCl as the temperature decreases. Below ~200°C, only quartz, pyrite, native S, and anhydrite are stable, hence the formation of the dominant quartz from the silica residue. A further check on our modeling is the observation that the calculated composition of the condensate after reaction with fresh Satsuma Iwojima rhyolite and alteration minerals, and cooling to 100°C, is similar (within a factor of two) to that of acidic springs, with pH ~1, that discharge around Satsuma Iwojima and other active volcanoes. The most extensive lithocap alteration, residual quartz and/or quartz-alunite, is commonly offset from the surface projection of the causative intrusion. This observation can be explained by a combination of two factors—hydrology and temperature. Due to hydraulic gradients at shallow depths in a volcanic edifice, the acidic condensate tends to flow along permeable lithologic units away from the locus of the high-temperature vapor plume, which rises directly over the intrusion. Where lateral flow occurs, the most intense leaching and widespread advanced argillic alteration, which develops largely at temperatures of <200° to 250°C based on our modeling, will form away from the near-surface projection of the intrusion, which is the area of highest surface temperature due to ascent of the vapor plume. This potential for lithocap alteration to form on the shoulder of the underlying causative intrusion must be assessed when exploring for high sulfidation ore; the highest ore grades are commonly related to structures that are proximal to the parent intrusion, but they are unlikely to lie directly over the intrusion. In addition, identifying the most likely location of the source intrusion will help the explorer to efficiently assess any potential for deeper porphyry-style 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 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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.184
Teacher spread0.173 · 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 designSimulation or modeling
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

Citations119
Published2013
Admission routes1
Has abstractyes

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