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Record W2052382406 · doi:10.1115/ipc2008-64214

Design and Construction of 42” Liquids Pipeline Batch Pig Facilities

2008· article· en· W2052382406 on OpenAlexaboutno aff
Robert W. Kratsch

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMineral Processing and Grinding
Canadian institutionsnot available
Fundersnot available
KeywordsPipeline (software)LaunchedControl roomEngineeringRemote controlComputer scienceMarine engineeringAutomotive engineeringOperating systemElectrical engineering

Abstract

fetched live from OpenAlex

Enbridge’s current major expansion called “Southern Access” is a 42″ liquid crude oil pipeline running 321 miles from Superior, WI to Delavan, WI in 2008 and continuing another 133 miles to Flanagan, IL in 2009. As part of the goal to achieve and maintain a high quality pipeline system, an automated batch pig system was required to remotely launch the batch pigs, operated from the Control Center in Edmonton, Alberta, Canada. The project team has designed and developed a unique batch pig system that allows the loading and unloading of multiple pigs. The 42″ pigs can be remotely launched or received one at a time without having to open the pig launcher or receiver to atmosphere. These facilities allow pigs to be launched remotely, separating the various crude types being transported. The launcher and receiver have been designed to accommodate remote launching or receiving up to 4 pigs without having to open the traps. The facilities are designed for quick loading and unloading of the launcher and receiver to reduce the time the trap is open and reduce labor requirements. The receiving facilities incorporate pig washers and a pig maintenance shop to service the pigs as they are received. Specialized material handling equipment has been engineered to facilitate the safe and efficient movement of the pigs used for this operation. The launcher and receiver barrels can also be utilized for routine cleaning and inspection operations. This paper discusses the key features and challenges of the design and construction of the batch pig systems implemented for the new 42″ liquids pipeline. Of particular interest are the practical requirements included in the design for operation of the facilities in a safe and efficient manner.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.215

Codex and Gemma teacher scores by category

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 science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.200
Teacher spread0.177 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2008
Admission routes1
Has abstractyes

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