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Record W4384695295 · doi:10.22215/etd/2023-15532

Design and Application of a Novel Optical Methane Flow Sensor to Quantify Methane Vent Sources at Upstream Oil and Gas Sites

2023· dissertation· en· W4384695295 on OpenAlexaffabout
Simon A. Festa-Bianchet

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsCarleton University
Fundersnot available
KeywordsMethaneEnvironmental scienceNatural gasGreenhouse gasMethane gasPetroleum engineeringRemote sensingAtmospheric sciencesHydrology (agriculture)Waste managementChemistryEngineeringGeology

Abstract

fetched live from OpenAlex

This thesis first describes the development and characterization of an optical methane mass flux sensor, called the VentX, which was designed for use in hazardous locations such as upstream oil and gas facilities for the continuous quantification of methane emissions from point sources.Two configurations were initially described, with directly irradiated photodetectors ultimately favoured over a fully fiber-coupled version.In both configurations a methane volume fraction-dependent velocity measurement error was observed.Following component-by-component investigations of sources of optical interference, a second prototype was then designed and tested that greatly reduced this velocity measurement error, achieving a methane mass flow rate uncertainty of ±0.40 kg/h at 95% confidence and temperature induced measurement drift of <0.015 m/s/K.The VentX was then used to measure casing gas vent rates at eleven Cold Heavy Oil Production with Sand (CHOPS) wells in Saskatchewan, Canada, in conjunction with a larger aerial study of 962 sites using Bridger Photonics' Gas Mapping LiDAR (GML).The time-resolved VentX measurements demonstrated that the discrete GML measurements could reproduce mean venting rates, despite observed temporal variability.Venting from CHOPS sites in this region was shown to be grossly underreported, with approximately 60% of the measured methane originating from wells that appeared to exceed regulated venting limits.However, preliminary economic analysis suggested that 97% of these emissions could be mitigated using readily available combustor technology with payback periods <2 years when costing methane emissions based on current carbon pricing.Finally, the VentX meter was deployed at eight oil wells in Alberta, Canada to measure unsteady venting from production storage tanks, a second key oil and gas sector source.Variable and intermittent venting was documented at multiple sites, often in conjunction with varying methane fraction.Analysis revealed the limitations of using simple gas-to-oil ratios (GOR) to estimate storage tank venting and specific recommendations were made to improve the accuracy of emission measurement and reporting.Finally, statistical analyses showed that discrete measurements of individual storage tanks using so called snapshot technologies should be treated with caution, while providing guidelines for required sample sizes to accurately measure aggregate mean emission rates in larger-scale surveys.Table 2.1: Summary of established bulk velocity or flow rate measurement approaches Technology Requires Fluid-Specific Calibration Factor Pressure Drop Accuracy Requires Flow Conditioning * Turndown Ratio Cost Volumetric Flowrate Measurement Orifice Meter Yes High Fair Yes Poor Low

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.016
GPT teacher head0.252
Teacher spread0.237 · 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
Published2023
Admission routes2
Has abstractyes

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