Estimation Of Net Pay In Unconventional Gas Reservoirs
Bibliographic record
Abstract
Abstract The confidence and the ability to predict reserves more accurately play an important role in developing a reservoir (conventional and unconventional). The role of Net Pay is very important in unconventional volumetric calculation of hydrocarbon resources, a practice that strengthens the relative worth of the Petroleum Industry. However, the estimation of resources has no universal definition of the concept neither is there a widely accepted procedure or methodology for its determination and incorporation. In unconventional reservoirs, these shortcomings become even more glaring where there is scarcity of reservoir data for assessing the storage properties of reservoir rocks and flow behavior. In improving the current situation of estimating Net pay in unconventional reservoirs, an assessment of the concept (Net Pay) together with contemporary method of determining it was carried with the aim of determining its application to Unconventional Gas Reservoir (UGR). In this paper an integrated rock typing approach is proposed as an alternative method of assessing reservoir quality for unconventional gas reservoirs that exhibit significant deviations for the Archie Criteria or Formula termed “problematic Reservoirs” by Worthington (2011).
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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".