The Origin and Enrichment of Sedimentary Basin Lithium Brines: A Case Study From the Upper Devonian Leduc Formation, Alberta Basin, Canada
Bibliographic record
Abstract
Abstract Direct extraction of lithium from oil field brines, herein referred to as “sedimentary basin lithium brines,” is emerging as an economical and environmentally responsible alternative to hard-rock and salar-style brine resources. Relative to the major lithium chemical-producing countries, North America has scarce traditional lithium ore deposits. Sedimentary basin lithium brines present a promising and readily available domestic supply of lithium. Elevated lithium concentrations (>50 mg/L) are known in hydrocarbon fields across North America, but the origin of these brines, the lithium sources, and lithium enrichment mechanisms are largely debated or unknown. Using the Upper Devonian Leduc Formation (Alberta basin, Canada) as a case study, we document the complexity of unraveling brine genesis and evolution. Competing hypotheses regarding Leduc brine origin, postformational brine modification, and lithium sources confound an understanding of the lithium resource homogeneity and longevity. Using brine-dissolved species and isotopic data, we show that the Leduc brines are regionally geochemically distinct across the Devonian Leduc Formation reef complexes. We conclude that these brines originate from both evaporatively concentrated seawater and the dissolution of evaporite sequences and were subsequently modified by local mixing, diagenesis, and rock-water interaction processes. This compositional heterogeneity has implications for lithium resource exploration, production, and valuation of the Leduc Formation and other sedimentary basin lithium brine resources.
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 | 0.005 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".