Petrophysical Evaluation of Carbonates from the Weyburn Oil Field Using Synchrotron X-Ray Computed Microtomography
Bibliographic record
Abstract
Synchrotron X-ray Computed Microtomography (CMT) is a powerful imaging technique that utilizes coherent and brilliant synchrotron light to produce high-resolution, three-dimensional images based on differences in X-ray attenuation within a sample. CMT is a rapid, non-destructive technique that allows 3D, in-situ imaging of a sample at micron-scale resolution. CMT was performed on Mississippian limestone and dolostone samples obtained from the Weyburn Reservoir, the site of EnCana Corporation’s CO2-miscible Enhanced Oil Recovery (EOR) project. This study is assessing the potential for CMT analysis to delineate petrophysical properties such as porosity, permeability and density-related differences in mineralogy with in rock cores. Comparisons of data obtained by CMT vs. electron backscatter using SEM are improving the understanding of the relationship between the Linear Attenuation Coefficient (LAC), phase density and mineral identification. Additionally, parameters determined by CMT will be compared with petrophysical measurements performed conventionally (permeameter, Hg porosimetry) on identical sections of Weyburn core. These measurements are required to investigate the porebody and pore-throat volume distribution in the Marly and Vuggy units of the Weyburn reservoir and to elucidate controls influencing fluid transport at the pore-scale in the subsurface.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 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) | 0.001 | 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".