Detection of a Permeable Aquifer Geohazard Above Potash Mines using In-mine Time-domain Electromagnetics
Bibliographic record
Abstract
ABSTRACT Inflows pose a serious concern to potash mining operations and often increase operating costs and production slow-downs. The mapping and understanding of water-bearing geohazards is vital in the potash mining industry. Critical to this effort is the development of geophysical tools to quantify the type and magnitude of these geohazards. In this paper, we propose using in-mine time-domain electromagnetics (TDEM) as a viable tool for investigating porous, water-bearing anomalies in geological layers more distant than has been done with electrical methods in the past. This work includes a TDEM survey to better delineate and quantify the properties of a suspected geohazard near a potash mine in southern Saskatchewan. Our investigations had two objectives: one was to confirm and define the extent of the conductive brine in the overlying lithology. The second was to determine the effectiveness of deploying TDEM in-mine where full-space effects and nearby machinery pose significant noise challenges to operation. Our results found a strong conductive EM signature to the suspected anomaly, suggesting there is high value in deploying TDEM underground. In addition, full-space EM computer modeling was performed in COMSOL Multiphysics using 2D-axisymmetric geometry to account for lithological changes both above and below our survey. We invert the survey data using a pair of different strategies. The results of which demonstrate that the anomalous EM response is caused by a conductive high in the Dawson Bay carbonate layers above the mine workings.
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) | 0.000 | 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".