Geochemical Interpretation and Field Scale Optimization of Low Salinity Water flooding
Bibliographic record
Abstract
Summary Low Salinity Waterflooding (LSW) is an emerging Enhanced Oil Recovery (EOR) method. Wettability alteration towards increased water wetness in LSW is the widely accepted mechanism for the enhanced oil recovery. This phenomenon can physically be explained by ionic exchanges and geochemical reactions. However, the detailed ion exchanges have never been adequately addressed, and the explanations provided in the literature are sometimes contradictory leading to challenges of a successful LSW design. This paper aims to: (1) present detailed ion exchanges and geochemical reactions that happen in LSW using a compositional simulator; (2) analyze the key factors that affect an ion exchange process and address how to maximize the preferable wettability alteration; (3) investigate the potential of combining CO2 with LSW (CO2 LSWAG) to promote geochemical reactions and maximize the final oil recovery factor; (4) conduct a robust optimization of CO2 LSWAG under geological uncertainties.
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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 | 0.000 | 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 | 0.000 |
| 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 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".