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Record W4407824364 · doi:10.1002/9781394356294.ch2

Acid Gas Disposal—A View from the Trenches

2025· other· en· W4407824364 on OpenAlexaffabout
K. Beermann H. Kruse

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnvironmental Science
TopicWater-Energy-Food Nexus Studies
Canadian institutionsARC Resources (Canada)
Fundersnot available
KeywordsEnvironmental scienceGeologyPetroleum engineering

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.091
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.007
Scholarly communication0.0120.009
Open science0.0030.005
Research integrity0.0060.008
Insufficient payload (model declined to judge)0.0140.003

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.

Opus teacher head0.009
GPT teacher head0.197
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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