Microbial diversity in production waters of a low-temperature biodegraded oil reservoir
Bibliographic record
Abstract
Microbial communities in two production waters of a low-temperature and low-salinity petroleum reservoir in Canada were examined using cultural and molecular approaches. The predominant cultivated microorganisms were homoacetogens but sulfate-reducers, acetoclastic methanogens and denitrifiers also gave significant counts. The dominant members of the culturable population were affiliated with the Firmicutes, the "Deltaproteobacteria", the "Epsilonproteobacteria", the Spirochaetes and the Euryarchaeota. 16S rRNA gene clone libraries were also constructed from the total DNA collected from production waters. The bacterial library was entirely composed by a single phylotype related to Arcobacter. The archaeal phylotypes were generally very closely related to members of the orders Methanosarcinales and Methanomicrobiales. Consistent with earlier observations, our data suggest that methanogenesis is a dominant terminal process in the reservoir. Moreover, the cross-evaluation of culture-dependent and -independent techniques also indicates that, contrary to most studies, both acetoclastic and lithotrophic methanogens may be involved in this process. This first investigation of the microbial diversity in a non water-flooded low-temperature and low-salinity petroleum reservoir expands substantially our knowledge of the extent of microbial diversity and highlights the complexity of microbial communities involved in the oil field food chain.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".