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Record W1539017544

History matching and predictive modelling of TMA operations at a postash mine site in Saskatchewan

2004· article· en· W1539017544 on OpenAlexaboutno aff
Gregory R. Potter

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2004
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsMatching (statistics)Computer scienceGeologyMathematicsStatistics
DOInot available

Abstract

fetched live from OpenAlex

Development of decommissioning plans by the potash mine sites in Saskatchewan require the assessment of long-term brine impact to the environment and to the aquifer systems in the vicinity of potash tailings management areas (TMA). Three-dimensional numerical simulations provide the only means of providing credible predictions of groundwater flow and contaminant transport for TMAs. The objective of this study was to use a 3D groundwater flow and transport model to match the operational history of a selected mine site and estimate the extent of long-term brine migration from the TMA within the groundwater flow system. Geological, hydrogeological, and physiographic data were collected, compiled, and simplified to formulate a conceptual model of the site. This conceptual model was used to construct a 3D mesh that incorporated this information and could be used to simulate groundwater and contaminant transport. Conceptualization of the groundwater flow system and brine migration from the site necessitated the utilization of a 3D saturated-unsaturated, variable-density, flow and transport code. FEMWATER, a finite element method code, developed for the U.S. Environmental Protection Agency (EPA) and maintained by U.S. Army Engineer Waterways Experiment Station (WES), was selected to simulate groundwater flow and contaminant transport. The steady-state model was developed using data that pre-dated mining activity and quantifies the natural flow system in the modeled area. Three aquifers are important in the natural system at the selected mine site: 1) a surficial sand aquifer; 2) the Floral lntertill Aquifer; and, 3) the Hatfield Valley Aquifer. The surficial sand aquifer is an important shallow aquifer in the immediate vicinity of the TMA, receiving an estimated 1,200 m3/d recharge from natural infiltration over the entire model region. Most of the flow in this shallow system discharges locally to surface streams and sloughs. The Floral lntertill Aquifer is a confined local aquifer at considerable depth (> 50 m) below the TMA with a relatively low natural inflow/outflow estimated at 300 m3/d (for the modelled area). The aquifer heads are near ground surface in the Floral lntertill Aquifer. Wells in this unit can be flowing artesian, particularly to the south of the TMA. The Hatfield Valley Aquifer is a major regional aquifer and is located 10 to 20 m below the Floral lntertill Aquifer beneath the TMA. The Hatfield Valley Aquifer has much larger inflow/outflows than the other aquifers in the modelled region, estimated at 3,300 m3/d. Flow directions in the deep aquifers are generally to the south and southeast. There is a predominantly upward gradient from the deep aquifers over most of the modelled domain. History matching and predictive results must be regarded as first or second estimates rather than "fits" or calibrated transient solutions. A major factor considered at the TMA was porewater pressure, generated by the loading applied to the system by the tailings pile. The transient calibration process is ongoing and future improvements are expected, nevertheless the preliminary results are in reasonable agreement with observational data and the model is regarded as an effective tool for comparative evaluation of alternatives. Brine migration depends primarily on the advective velocity field in the more permeable aquifer units. In the thick tills beneath the site, porewater pressure responses to loading by the tailings pile are large, but density effects and diffusion (rather than advection) are likely the controlling factors on brine migration. Overall, lateral gradients generated by porewater pressure dissipation in the aquifers appear to have more influence on directing brine migration than the larger excess porewater pressures in the aquitards. In the history-match and predictive simulations, brine advances laterally in the surficial sands as a shallow advective plume and predictions suggest that the slurry wall and drainage ditch containment systems are effective in intercepting such movements. The thick till sequence inhibits downward movement of brine and the deeper aquifers are unaffected by brine in the 100-year model-timeframe. Large changes in the natural flow system have been induced by the mining operation as a result of pile loading and freshwater pumping from the Hatfield Valley Aquifer. In respect to groundwater flow, the impacts of the mine site extend from the surficial sediments to the deep aquifers and aquitards. Despite these large and widespread changes in flow patterns, contaminant migration impacts approximately 380 hectares outside the footprint of the TMA to an approximate depth of 20 m after 100 years. Note:Missing: Appendix D title page

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)0.001
metaresearch head score (Gemma)0.004
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 score0.400
Threshold uncertainty score0.805

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.164
Teacher spread0.153 · 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".

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Citations0
Published2004
Admission routes1
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