Geothermal Assessment of Paleozoic Aquifers in the Central Alberta Basin, Canada
Bibliographic record
Abstract
The Alberta Basin as foreland basin of the Rocky Mountains is known for its resources of oil, gas and coal. Due to its characteristic flexure of the foreland lithosphere this basin type deepens significantly towards the orogenic belt. These foreland deeps host potentially sedimentary layers containing hot fluids and structurally or facies controlled high permeability domains. Two Focus regions are studied by well data analysis, 2D seismic sections, stress field analysis and temperature modeling. The study areas are\nlocated around the city of Edmonton in central Alberta (basin depth 1.8 – 3.5km) and in northeastern Alberta around the town of Peace River (basin depth 1.7 – 2.4 km). Extension and thickness of potential geothermal target formations is investigated by 3D structural geological modeling, and geostatistical methods are applied to analyze the distribution of porosity, permeability and temperature within these formations. For central Alberta, the medium to coarse grained Cambrian Basal Sandstone Unit is the most\npromising formation for deep geothermal applications. This potential hydrothermal resource could be used for district heating in the Edmonton metropolitan area, where the Cambrian Sandstone is located at a depth of 2.2 – 2.7km with a temperature of 78 – 93°C.\nFluids from overlying Upper Devonian porous carbonates host fluids up to 63°C. In northeastern Alberta, warm fluids (51-75°C)from the siliciclastic Granite Wash Unit could be used for heating of greenhouses. Considering the climatic conditions in Alberta with its long and cold winter season, the temperature range between 60-90°C of hydrothermal resources seems to be efficient in highly populated areas with high heat demand as the metropolitan region of Edmonton, remote areas on northern Canada where fuel\nfor heating needs to be transported by helicopters, or generally in Canada to grow local food in greenhouses.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".