Identification and Analysis of Fields for Waterflood-Enhanced Recovery Efforts
Bibliographic record
Abstract
Abstract Changing economic conditions allow for a new examination of mature and abandoned fields to identify oil that is now economically recoverable (reserves). In mature oil producing basins there are many inactive or limited stripper production fields, all potential waterflood candidates. We present a methodology of identifying such fields, quantifying the incremental waterflood production, and creating a field development plan. Production forecasts are generated in a timely and cost effective manner for development scenarios with Time Dynamic Volumetric Balancing methods. The field reviewed and used as an example is the Belcherville Field. It is a Caddo Conglomerate, located in Montague County, Texas, discovered in 1946. Developed in the 1950's, 9 wells produced 3 mmbo of primary production before being abandoned in 1967. Production was from the channel deposits of the Caddo formation that are draped over a gentle anticline. A comparative study of 7 other fields in the same trend indicates waterflooding can recover and additional 84% of primary recoverable oil.
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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 | 0.001 | 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) | 0.002 | 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".