Sedimentary and ore-forming characteristics of uranium mineralization in the Shizigou formation from the Southwest Qaidam Basin, Northwest China
Bibliographic record
Abstract
• The East Kunlun orogenic belt provides the sedimentary source and ore-forming materials for the uranium mineralization in the southwestern Qaidam Basin. • The suitable sedimentary environment provides condition for the uranium mineralization process. • The escaping organic matter is the reducing material for redox reactions related to mineralization, and effectively preserves the uranium orebodies. The sandstone-type uranium deposits are the dominant source of uranium in China. The Qaidam Basin, the largest inland sedimentary basin from the Chinese northern Tibetan Plateau, is shaped by various tectonic processes from the surrounding East Kunlun, Altyn, and Qilian orogenic belts, and is characterized by uranium mineralization and enrichment of petroleum. The Shizigou Formation is identified as one of the U-bearing strata in the Qigequan area. We present a case study at the Qigequan area in the southwestern edge of the Qaidam Basin, to investigate the governing factors for anomalous uranium enrichment in this stratum. U-Pb dating of detrital zircon from sandstones of the Shizigou Formation reveales two age peaks at 450 Ma and 260 Ma respectively. The zircon CL images suggest that the majority of zircon grains assessed are magmatic origin, though some show complex core-rim texture, irregular shape core with overgrowth domains, patched zoning and sector zoning, indicating a metamorphic origin. The bimodal age distribution, textures, and REE distribution of the selected detrital zircon grains all indicate that the sedimentary source of the Shizigou Formation originated from the Qimantagh area (East Kunlun). The paleoclimate proxies, namely the Sr/Cu, Sr/Ba, V/Sc, V/Cr, and Fe 3+ /Fe 2+ values, combined with the chemical index of alteration (CIA) and index of compositional variation (ICV) reveal that the Shizigou Formation was formed in a relatively arid and oxidized environment that suffered a low degree of chemical weathering, which provides condition for the transport of U-bearing ore-forming fluids. The escaping organic matters in the underlying strata act as reducing materials that control the precipitation of uranium-complexes in ore-forming fluids. On the other hand, the surrounding strata containing the source rocks and hydrocarbon make an effective barrier for the uranium orebodies to be preserved. The ore-forming material source, sedimentary environment and organic matters have made significant contributions to the uranium mineralization in the southwest Qaidam Basin
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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 | 0.001 | 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) | 0.001 | 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 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".