Dynamic Rock Typing and Two-Phase Flow Characterization for CO2-Brine Systems in Carbon Capture and Storage (CCS)
Bibliographic record
Abstract
Summary This study provides a novel perspective on the generation of dynamic reservoir rock types within the supercritical CO2-brine system. It achieves this by utilizing relative permeability data and seamlessly integrating it into advanced 3D numerical reservoir simulations. Drawing on 22 sandstone core plugs from potential CO2 storage aquifers in Alberta, Canada, the study employs a novel rock typing methodology utilizing pore geometry and structure (PGS) along with the True Effective Mobility (TEM) function. This comprehensive approach characterizes multi-phase fluid flow properties in rocks, leading to the establishment of four rock groups based on pore geometry and structure relationships. The results demonstrate clear groupings of similar TEM-function curves, reflecting the relative permeabilities of both brine and CO2 during drainage and imbibition. Averaged relative permeability curves derived from the TEM-function reveal unique multi-phase fluid behavior within each rock group, observed in 3D numerical simulations. The novelty of combining PGS rock typing and TEM-function analysis lies in its efficacy in grouping capillary pressure and relative permeability data, ensuring high consistency and minimized overlap in each rock type. This approach not only offers a valuable alternative for averaging relative permeability data but also presents a streamlined solution to reduce uncertainty in dynamic reservoir modeling.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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".