Quartz and Fe-dolomite Cements Record Shifts in Formation-water Chemistry and Hydrocarbon Migration in Devonian Shoreface Sandstones, Ghadamis Basin, Libya
Bibliographic record
Abstract
Abstract Cementation by quartz overgrowths and subsequently by carbonates is a very common global paragenetic phenomenon in sandstones of many basins that is poorly constrained in the literature. Integrated petrography, electron microprobe, stable isotopes, fluid inclusion microthermometry, and Raman spectroscopy have helped unravel the diagenetic conditions, fluid flow, and hydrocarbon migration during the development of quartz overgrowths and later Fe-dolomite cement in the Devonian shoreface sandstones (oil and gas reservoirs), Ghadamis Basin, NW Libya. The high homogenization temperatures of Fe-dolomite (Th = 119 to 140°C) together with its low δ18OVPDB values (–17.6‰ to –13.2‰) and saddle-crystal morphology suggest the flux of hot basinal brines. The fluid-inclusion microthermometry shows a shift from NaCl-dominated brines during quartz cementation (16.0 to 17.3 wt.% NaCl eq.) to NaCl and CaCl2-dominated brines during Fe-dolomite cementation (15.6 to 18.4 wt.% NaCl eq.). The latter brines probably circulated through overlying Mesozoic carbonate and evaporite strata before descending deep into the basin. The similarity in Th ranges for Fe-dolomite and quartz overgrowths, despite the shift in formation-water chemistry suggests precipitation under similar geothermal conditions. The presence of oil-filled inclusions in quartz overgrowths suggests that cementation occurred during oil migration, whereas the presence of methane in inclusions in the Fe-dolomite cement suggests precipitation during gas migration. This study shows that fluid inclusion microthermometry and Raman spectroscopy of the widespread paragenetic sequence of quartz overgrowths followed by carbonate cement are crucial to unravel changes in formation-water chemistry and fluid (including hydrocarbon) migration in sedimentary basins.
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 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".