Optimized Gas-Well Stimulating Using CO2-Miscible, Viscosified Hydrocarbon Fracturing Fluids
Bibliographic record
Abstract
Abstract The use of CO2-miscible, viscosified hydrocarbon fracturing fluids has been proven to be a very effective gas-well stimulation technique in Canada and the United States. Fluid recovery is enhanced after stimulation by this process. Anderson and Gruber presented the original concepts used in paper CIM 95-45, entitled "Carbonated Hydrocarbons for Improved Gas Well Fracturing Results." 1 This paper provides results of wells recently stimulated. Simplifications to the fluid and job design processes, and additional design considerations are introduced. New CO2 solubility data generated at 50°C, 85°C, and 120°C with 30%, 40%, and 50% CO2 in four different fracturing fluids are presented to provide a wider range of design data. Compositional data for a number of specialty fracturing fluids are introduced to illustrate their enhanced fluid-recovery capability compared to heavier fluids such as kerosene and diesel.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".