CCUS and Geothermal Energy Activities in Saskatchewan, Canada: Novel Technologies in Carbon Capture and Storage Related the University of Regina's Clean Energy Technologies Research Institute and the PTRC's Aquistore Deep Saline Storage Project
Bibliographic record
Abstract
Abstract The province of Saskatchewan in Canada has two of the largest CCUS projects in the world - the Weyburn CO2-EOR flood and the Aquistore Deep Saline CO2 Storage Project. Learnings from these operations have powered significant research in capture, storage, and (inadvertently) geothermal energy production. This work will examine how these commercial operations have fostered important research into solvents for less expensive capture technologies, and reservoir characterization and monitoring that has enhanced CO2 storage while simultaneously enhancing geothermal production. The 23-year history of CO2 EOR and deep saline storage in Saskatchewan has led to a material advantage for research groups in the province - both in the areas of CO2 capture research, and CO2 deep geological storage. The SaskPower Boundary Dam Capture Facility, and the Aquistore site have both facilitated R&D programs at Saskatchewan's universities and research organizations into reactive solvent capture technologies, and at PTRC in novel measurement, monitoring and verification tools. The accumulated data from those two industrial scale projects (capture and storage) have facilitated unique findings worth sharing with other planned CCS projects now in development. Over 30 different kinds of measurement, monitoring and verification technologies for storage have been examined and compared at the Aquistore Deep Saline Storage Project. The results on plume monitoring and surveillance, using both DAS and DTS (fibre optic) deployment has shown a surprising repeatability of results as compared to the site's permanent geophone array. Novel deep fluid sampling to examine brine-CO2 interactions, and ongoing extensive sometimes surprising data related to second-by-second injection at the wellhead has revealed salt precipitation and pressure data that is crucial for planned projects globally, particularly those that may experience stop-and-start injection regimes. In relation to reactive solvent development in the field of capture, CETRI (U of R) has developed a synergistic combination of novel solvent and catalytic packing in its facility that significantly reduces energy requirements and equipment size for CO2 capture, resulting in a lower cost process. This next generation capture technology provides decarbonization across many challenging applications and industrial sources. The research at CETRI, which has played an important role in the optimization of the Boundary Dam facility in the past, is building on that experience. Both the real-time data at Aquistore, and the catalyst-aided solvent development at the University of Regina draw from industrial scale CCUS in Saskatchewan. Interestingly, the saline formation characterization that informed Aquistore, has now provided crucial data for southern Saskatchewan about temperatures and fluid flow that is encouraging geothermal heating in cities like Regina and Estevan, offering insight into how research into emissions reduction technologies can help inform and expand additional low carbon projects.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".