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Record W2085276076 · doi:10.2118/138978-ms

Effluent Metering and Liquid Gas Ratio Analysis

2010· article· en· W2085276076 on OpenAlexaffabout
L. M. Conrad, K Howell

Bibliographic record

VenueCanadian Unconventional Resources and International Petroleum Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicOil and Gas Production Techniques
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsUpstream (networking)Petroleum industryDownstream (manufacturing)PetroleumMidstreamNatural gasMetering modeFossil fuelEngineeringEnvironmental scienceWaste managementBusinessOperations managementTelecommunicationsEnvironmental engineeringChemistry

Abstract

fetched live from OpenAlex

Abstract Beginning in 2007, the Industry Measurement Group (IMG) undertook a two year initiative focused on creating technically based regulations that would allow for improved economics on low pressure, low liquid gas plays in Western Canada. The initiative was supported by the Canadian Association of Petroleum Producers (CAPP) and led to a joint CAPP/IMG review of Effluent metering applications and the associated testing requirements for gas wells set forth by the regulatory authorities in British Columbia and Alberta. The Canadian Association of Petroleum Producers (CAPP) is the voice of Canada's upstream oil, oil sands and natural gas industry. CAPP represents companies that explore for, develop and produce natural gas and crude oil throughout Canada. CAPP's member companies produce about 90 per cent of Canada's natural gas and crude oil. The Industry Measurement Group (IMG) represents 100 members from upstream, transmission, provincial and federal organizations. IMG is recognized by CAPP as a formal voice for measurement related activities in the Western Canadian Oil and Gas Industry. The objectives of the IMG organization include the identification of common areas of concern relating to measurement and encouraging co-operation in establishing action plans, increasing awareness of measurement issues and fostering beneficial relationships. IMG also acts as a liaison between the industry and regulatory bodies in the development of industry accepted standards for measurement activities. The examination of metering applications and testing requirements for gas wells in British Columbia and Alberta led to the conclusion by both industry and the regulator that there was merit in conducting a timely multi-jurisdictional review. The primary objectives of the joint CAPP/IMG review were two fold. Firstly, it brought all parties together to form a common framework for Effluent metering application and testing expectations, based on a risk and volumetric approach. Secondly, it supported an economical approach to the continued development of unconventional gas resource plays in Alberta and British Columbia, with a focus on well-site infrastructure and operational cost optimization. This paper will provide the reader with insight into well testing requirements and the benefits of creating technically based, pragmatic regulations. The paper will also demonstrate how through the use of existing regulatory documentation, the CAPP/IMG project team was able to develop a new practical and pragmatic regulatory framework and policy for Effluent metering and well testing, which provides a common regulatory and industry approach across Alberta and British Columbia.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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 designBench or experimental
Domainnot available
GenreEmpirical

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
Published2010
Admission routes2
Has abstractyes

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