Editorial: Remagnetization and Diagenesis
Bibliographic record
Abstract
A second paper by Abdulkarim et al. (2022b) described a magnetic approach using high temperature susceptibility (HT-χ) measurements to determine the position and thickness of the oil-water transition zone (OWTZ) in reservoirs. HT-χ data from core samples in Paleogene reservoirs of the UK Central North Sea revealed distinct signatures around the OWTZ. There were rapid increases in susceptibilities at temperatures <250°C around the OWTZ compared to the main oil leg where susceptibility increased at significantly slower rates and at higher temperatures. The HT-χ and Mössbauer data revealed that the variation in alteration characteristics at the OWTZ is due to the increasing concentration of hexagonal pyrrhotite and/or lepidocrocite. Hexagonal pyrrhotite was identified in reservoirs existing at temperatures of <80°C and is related to biodegradation. The lepidocrocite is found at the interface in deeper reservoirs and is interpreted to be related to cessation of biogenic activities and hydrolysis of hydrocarbons at the oil water interface. 2022) examines the roll of petroleum microseepage and associated chemical and microbial processes in homogeneous strata and/or with the fluid transport properties of the rocks through which oil and gas migrate. They compared numerical modelling predictions using time-dependent, one-dimensional, simulation of the advection-diffusion equation for upward methane microseepage along with some field evidence for hydrocarbon transport. They examined results from two case studies, a monitoring borehole from a landfill in southern Ontario, Canada, and an oil well from the Eastern Llanos Basin in Colombia. Synthetic methane profiles correlate with resistivity data which is considered as direct proxy for hydrocarbon accumulation. Electron paramagnetic resonance data indicates that hydrocarbon microseepage and accumulation are controlled by lithology. Extractable organic matter and magnetic susceptibility data provide evidence for hydrocarbon-mediated near-surface chemical processes. The results suggest that some near-surface magnetic and geochemical anomalies reflect deeper hydrocarbon sources, which can be useful in reconnaissance surveys to map leachate plumes or oil reservoirs.
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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.004 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.022 | 0.017 |
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".