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Record W4408241342 · doi:10.3997/2214-4609.202474021

CO2-water-rock Reactions and Metal Mobilization: A CO2 Storage Demonstration Site in the Surat Basin

2024· article· en· W4408241342 on OpenAlexaff
Julie K. Pearce, Grant Dawson, Dirk Kirste, Frank Brink, S. Golding, Gordon Southam, David Paterson, Nigel Hall, Ralph C. Heath, D. Greer

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsStructural basinMobilizationWater storageGeologyMining engineeringMetalGeochemistryEnvironmental scienceMaterials scienceGeomorphologyMetallurgyArchaeology

Abstract

fetched live from OpenAlex

Summary Demonstration scale CO2 geological storage has been proposed in the lower Precipice Sandstone, Surat Basin, Australia. The Evergreen Formation is the overlying seal (cap-rock), and the Moolayember Formation of the Bowen Basin the underlying formation (bottom seal). CTSCo has drilled several wells for feasibility studies. The potential for CO2-water-rock reactions to release metals to low salinity groundwater was a potential risk since the site is within the Great Artesian Basin. Metals were hosted in several minerals in the West Wandoan 1 well rock cores, with total concentrations higher in the Moolayember Formation and reservoir mudstones, than in the reservoir sandstones. Drill cores were reacted with supercritical CO2 or impure CO2-SO2-NO-O2 at in situ conditions. Minerals including calcite, ankerite, siderite, Fe-rich chlorite, and sulphides reacted. Dissolved Ca, Mn, Zn, Rb, etc. were released at variable concentrations dependant on the rock mineral content and gas stream. Fe and Pb generally increased initially, then decreased as Fe-oxyhydroxide minerals precipitated especially in the presence of O2. Carbonates were the main sources of metals as they dissolved more readily, with some release from ion exchange/desorption. Ultimately, a reactive transport model built from the data predicted that water quality impacts were restricted to the CO2 plume.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.230

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.253
Teacher spread0.237 · 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
Published2024
Admission routes1
Has abstractyes

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