Trucking of Compressed Natural Gas (CNG) from the Naturally Fractured Galt Field in the Gaspe Area of Quebec
Bibliographic record
Abstract
Abstract Based on a 427-km seismic survey run in Gaspe in the early 1980's, well Galt # 1 was drilled to a depth of 2500 m in 1983. Several Devonian DSTs indicated the presence of 46-degree API oil in the Indian Cove formation between 993 and 1309 mKB, and gas in the Forillon formation between 2245 and 2353 mKB. The well was not considered economic at the time and was abandoned using various cement plugs. Subsequent evaluation of the log and DST data indicated that the naturally fractured Forillon limestone had been heavily damaged during drilling operations. The well was re-entered in September 1993 and following an acid job tested at approximately 1 m3/day of oil from the Indian Cove formation. The well was next drilled out to the Forillon formation in June 1994. It flowed at approximately 6,400 m3/day of gas during the extended flow period; however, gas rates in excess of 56,000 m3/day were recorded during the isochronal test. Due to the lack of pipeline infrastructure, the gas is being trucked to a copper smelter plant operated by Noranda at Murdochville. This replaces the propane previously used at the smelter. This paper discusses the geology of the area, the log and DST data, the compressed natural gas (CNG) system used for trucking the gas and the economics of the project.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".