Assessment of petrophysical parameters of clastics using well logs: The Upper Miocene in El-Wastani gas field, onshore Nile Delta, Egypt
Bibliographic record
Abstract
Based on logs of ten wells in the El-Wastani gas field, onshore Nile Delta, Egypt, petrophysical evaluation for the Upper-Miocene Qawasim Formation and Abu Madi Formation in the El-Wastani gas field was accomplished. The lithology of these formations was analyzed using cross plots of logging parameters, and petrophysical parameters including shale volume, porosity, water saturation and hydrocarbon pore volume were assessed. The Neutron/Density, Neutron/Gamma-ray and Litho-saturation cross plots of the wells show that the main lithology of the Lower Abu Madi unit is sandstone with shale intercalations, while the lithology of the Qawasim Formation is mainly composed of shale with sandstone intercalations. The cut-offs of shale volume, porosity and water saturation for productive hydrocarbon pay zones are 50%, 10% and 70%, respectively, which were got based on cross-plots and Gamma-ray log data. Contour maps for parameters such as net pay thickness, average porosity, shale volume and water saturation were prepared and it is found out that the Abu Madi Formation and Qawasim Formation in the study area have promising reservoir characteristics; A prospective region for gas accumulation trends northwest-southeast in the study area, especially favorable in the central part.
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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 | 0.003 | 0.002 |
| 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) | 0.000 | 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 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".