Heterogeneity of the transgressive systems tract of the Eagle Ford Formation, Val Verde County, Texas
Bibliographic record
Abstract
ABSTRACT Exploration in the Eagle Ford Formation relies on systematic analysis of the elemental, mineralogical, petrological, and organic content of the rock to characterize petrofacies and select horizons at which to effectively land horizontal wells. Previous work on road-cut outcrops located along US Highway 90 (Val Verde and Terrell Counties, Texas) of the Eagle Ford Formation shows that vertical trends exist but have not been quantified. Understanding these variations is crucial when selecting a horizon for horizontal well landing. Our study investigates lateral and vertical trends in ∼100-m-long outcrop of the transgressive systems tract of the Eagle Ford Formation, which is the principal productive interval. The results of this study yield an integrated reservoir analysis through the combination of (1) lithologic outcrop analysis, (2) thin-section petrography, (3) Rock-Eval pyrolysis, (4) x-ray diffraction, (5) x-ray fluorescence, and (6) porosity and permeability measurement. Our results show that significant vertical and lateral variations of the reservoir facies exist on a small scale (50 m), which would not be detectable at the well scale. Therefore, a better understanding of these petrofacies variations and, most importantly, their range and variance must be taken into consideration to enhance well completion. The best approach for quantifying and predicting the range and variance of physical and chemical properties of the transgressive systems tract of the Eagle Ford Formation may be to rely upon geostatistical analysis of nearby well or outcrop data combined with a robust sedimentary model for such unconventional mudrock reservoirs.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".