Influential factors on rock density of typical shale gas reservoirs
Bibliographic record
Abstract
In this study, relationships that the mineral composition, porosity and permeability and TOC of favorable strata in the Western Canada sedimentary basin and southern China mature gas shale were stated. Density of shale/mudstone were calculated by each mineral percent contents. The correlation among mineral composition, porosity and density were specifically anayised, reaching the factors that affected the rock density.The results show that (1)shale gas reservior rocks that holding advantage of organic-pores appears low density than other types of pores with similar porosity; (2)density of rocks with same type of pores decrease with the increase of porosity; (3)whereas in the comparison of holding various types of pores, density of rocks with advantage of organic-pores decreases faster than other types of pores when porosity decreases; (4)porosity in unit volume of organic matter is larger than that in clay minerals.These conclusions may provide an method to estimate and judge the characteristics of pores in target strata roughly and fast.
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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) | 0.002 | 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 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".