Bibliographic record
Abstract
Natural gas plays a critical role in heating homes, powering factories, and driving our Canadian economy. Production of natural gas can be both technically rewarding and challenging. Once a resource like the Montney is discovered and is determined to be economically feasible, a company will need to determine how to access the resource, where to process it, and how to economically get it to market. As part of the processing of natural gas, impurities are removed, and hydrocarbon liquids are extracted. Some raw natural gas contain H 2 S and CO 2 , which need to be extracted from the natural gas in order to be sold and shipped to consumers. These impurities, once extracted, are called “acid gas” and they need to be safely and economically handled. ARC Resources Ltd. (ARC) operates several processing facilities in Alberta and British Columbia. North of the City of Dawson Creek, BC, ARC operates two sour gas processing facilities in the Dawson Creek Montney Gas Field. Both of the Dawson plants process sour natural gas to produce sales specification gas, NGL, and C 5 + products. Both gas plants utilize on-site injection wells to dispose of acid gas into the Belloy formation. ARC commissioned its first acid gas disposal well (100/05-35-079-14W6) on July 2, 2010 and its second (A13-07-080-14W6) on June 22, 2017. This paper will summarize the design and operating conditions of the Dawson Creek facilities from the acid gas compressor to the bottom of the well bore. Some operational issues will be described along with the solutions that were implemented. Due to the nature and complexity of the acid gas system from amine system to reservoir, a multidisciplinary approach to designing, operating, and troubleshooting is necessary.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".