Numerical Heat and Fluid-Flow Modeling of the Panorama Volcanic-Hosted Massive Sulfide District, Western Australia
Bibliographic record
Abstract
Exceptional exposure of the Archean Pilbara block in Western Australia reveals a cross section through an \nArchean massive sulfide-hosting volcanic succession with underlying subvolcanic intrusion in the Panorama \ndistrict. A numerical model based on available detailed geologic information has been constructed to simulate \nheat and fluid flow in the Panorama district. The modeling provides insight into the evolution of the hydrothermal \nsystem and evaluates key geologic parameters and their influence on fluid-flow, hydrothermal circulation, \nand the genesis of massive sulfide orebodies. The model simulates important aspects of the Panorama \nmassive sulfide district, such as temperature distribution, relative alteration zonation, and the size and distribution \nof orebodies. Predicted temperatures ranging from 150ºC at the top of the volcanic pile to ~400ºC at the \nandesite-diorite interface are comparable to temperature estimates based on previously published oxygen isotope \nmapping. Modeled fluid discharge temperatures are highest for the Sulphur Springs deposit (300º–400ºC) \nand lower for the Kangaroo Caves and other deposits (250º–350ºC). The most favorable conditions to reproduce \nthe orebodies and their related alteration zonation occur at anisotropic rock permeabilities comparable \nto the upper oceanic crust (10–15–10–14 m2) and higher fault permeabilities (10–14–10–13 m2) with a specific fault \narrangement similar to that mapped in the field. The 4.6 million metric tons (Mt) Sulphur Springs orebody is \npredicted to form in less than 5,000 yr, assuming a hydrothermal fluid with seawater salinity, 10 ppm base metal \nconcentration, and a low deposition efficiency (≤10%); other deposits form above the faults under similar conditions. \nA large range of base metal concentrations in the fluids can account for the known orebodies, but high \ntemperatures (≥250ºC) and high-flow velocities (>10–7 m/s) are necessary to produce the observed alteration \npatterns and distribution of ore deposits. Results indicate that the establishment of a significant hydrothermal \nsystem capable of forming economic massive sulfide deposits is favored in fresh volcanic rock packages that \nhave not been affected by earlier compaction or alteration. Under these conditions, economic massive sulfide \norebodies (>5 Mt of 10% Zn + Cu) may form in a few thousand years, although the overall lifespan of the hydrothermal \nsystem may be between 30,000 and ~200,000 yr, depending on the variations in rock and fault permeability \nwith time.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".