Multivariate and geochemical analyses of brines in Devonian strata of the Western Canada Sedimentary Basin for geothermal energy development
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Geothermal favorability maps in the Western Canada Sedimentary Basin (WCSB) are focused on depth and temperature. The transfer of mass and heat by a geothermal system, however, depends on the brine's transport and thermodynamic properties, which are predominantly controlled by its solute geochemistry. As an ongoing attempt to identify, map, and model potential geothermal reservoirs in sedimentary formations in the WCSB, we collect brine samples from various databases and perform rigorous quality control to identify representative formation waters from the carbonate platforms and reefs of the Leduc and Swan Hills formations, and the sandstone of the Granite Wash and Gilwood formations. We carry out multivariate analysis on 1963 representative samples using major chemical components, i.e., sodium, potassium, calcium, magnesium, chloride, bicarbonate, sulfate, and brine's pH. Principal component and cluster analyses identify distinguishable hydrogeochemical groups and the corresponding influential constituents. We then examine the direct influence of fluid chemistry on the engineering aspects of geothermal energy development in terms of parasitic loads and geochemical risks. The high salinities and associated high densities in one of the groups generate significant parasitic loads, e.g., greater than 55% at 110 °C. The geochemical modeling in each group demonstrates the potential scaling risks of dolomite, calcite, and brucite. The geochemical approaches presented here can be applied to geothermal energy development in sedimentary basins around the world.
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.
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 it