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Record W4385887273 · doi:10.55274/r0010045

L52288 Investigative Ultrasonic Meters in Heavy Oil Service

2008· report· en· W4385887273 on OpenAlexaff
Harvey

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEngineering
TopicFlow Measurement and Analysis
Canadian institutionsSGS (Canada)
Fundersnot available
KeywordsInterviewUltrasonic flow meterUltrasonic sensorService (business)Flow measurementTask (project management)Computer scienceEngineeringSystems engineeringBusinessAcousticsMarketing

Abstract

fetched live from OpenAlex

Investigation into the status of Ultrasonic Flow Measurement in heavy oil service, specifically in fiscal measurements. The objective of the study was to determine the status of current technology, its limitations and gaps, affecting Ultrasonic Flow Measurement performance and to provide direction for future research and initiatives. Result: The first task completed was an industry standard survey of Ultrasonic Flow Measurement vendors. This survey required the research of existing publications, interviewing operators of existing installations and interviewing qualified ultrasonic meter vendors. A questionnaire was developed and distributed to the vendors for completion, operators identified and supplied with the identical questionnaire and the results inputted within a comparison matrix which was used for rating the various vendors and status indicators of ultrasonic flow measurement technology in heavy oil service. The second task completed was a compilation of the survey results including the detailed responses and summary of all findings. Benefit: The report identified several barriers preventing the expanded use of ultrasonic flow meters in heavy oil service. The report also includes recommendations on who best to overcome these barriers for expanded use and identified future research required to broaden the adoption of ultrasonic flow measurement for heavy oil service (crudes).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.818
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.239
Teacher spread0.181 · 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 teacher head, not a consensus.

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
Published2008
Admission routes1
Has abstractyes

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