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Record W4220964865 · doi:10.5194/egusphere-egu22-6308

Carbonation and cementation of ultramafic mine wastes

2022· preprint· en· W4220964865 on OpenAlexaff
Justin Lockhart, Ian Power, Carlos Paulo, Amanda Stubbs, D. McDonald

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsTrent University
Fundersnot available
KeywordsCarbonationCementation (geology)ChemistryNuclear chemistryCementMetallurgyMaterials science

Abstract

fetched live from OpenAlex

Ultramafic (Mg-rich) mine wastes are produced in vast quantities, are of no economic value, and their storage impoundments can be susceptible to catastrophic failure.1 Carbon dioxide (CO2) mineralization of these wastes to form carbonate cement can reduce greenhouse gas emissions2 and assist in de-risking storage impoundments through physical stabilization.3 CO2 mineralization and cementation have been documented at asbestos,4 nickel,2 and diamond mines, occurring unintentionally over long periods (e.g., decades).2,4 This research aimed to 1) better understand carbonation and cementation processes by examining historic kimberlite mine wastes from diamond mines and 2) accelerate these processes in experiments using brucite-bearing serpentinite mine wastes. We collected physical, mineralogical, and geochemical data of cemented historic kimberlite wastes 70 to >110 years old. Analysis of cemented fine- and coarse-grained residues from the Voorspoed and Cullinan diamond mines (South Africa) revealed the presence of a fine-grained (<63 µm) cement matrix with greater total inorganic carbon (TIC; +0.08–0.34% relative to clasts), secondary clays (e.g., Mg-Al silicates), and some minor carbonates (e.g., calcite). Unconfined compressive strength varied considerably between fine- and coarse-grained wastes (UCS; 0.13–4.45 MPa). Furthermore, kimberlite clasts and cements were isotopically distinct, suggesting that mineral weathering by meteoric water drove cementation over decades after the deposition of these wastes. In experiments, coupling organic and inorganic carbon cycling accelerated carbonation of synthetic tailings that contained brucite [Mg(OH)2], a minor yet reactive mineral. In cylindrical test experiments (2.5 × 5 cm; 40 weeks), waste organics were either mixed (0–10 wt.%) or kept separate from brucite-bearing serpentinite mine wastes to provide an additional source of CO2. In the mixed cylinders, brucite consumption ranged from 3–30% and was limited by CO2 generation, as evidenced by minor increases in TIC (+0.02–0.22%). Compressive strengths amongst the cylinders reached 0.51 MPa with few cylinders becoming sufficiently stabilized; however, in experiments that exposed cylinders to CO2 generated from organics separate from cylinders, brucite carbonation (64–84% consumption) and compressive strengths were substantial (0.4–6.9 MPa).3 Our research demonstrates the role of long-term weathering for sequestering CO2 within ultramafic mine wastes, and how coupling organic and inorganic carbon cycling can accelerate CO2 sequestration and physically stabilize these wastes. References: 1. Rourke and Luppnow (2015), Tailings Mine Waste Manag., 225–230. 2. Wilson et al. (2014), Int. J. Greenh. Gas Control 25, 121–140. 3. Power et al. (2021), Environ. Sci. Technol. 55, 10056–10066. 4. Wilson et al. (2009), Econ. Geol. 104, 95–112.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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 designBench or experimental
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
Published2022
Admission routes1
Has abstractyes

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