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Record W3187891643 · doi:10.1061/9780784483626.036

Trans Mountain Employs Extensive Risk Mitigation Measures for Trenchless Construction on Their New Pipeline Expansion

2021· article· en· W3187891643 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePipelines 2021 · 2021
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsBP (Canada)
Fundersnot available
KeywordsTrenchless technologyPipeline (software)Directional drillingEngineeringPipeline transportCivil engineeringConstruction engineeringDrillingMechanical engineering

Abstract

fetched live from OpenAlex

Trans Mountain Corporation started construction of their Trans Mountain pipeline expansion project at the beginning of 2020 which extends from the tank farm in Edmonton, Alberta, to Westridge Terminal on Burrard Inlet in Vancouver, British Columbia. This is the culmination of at least 8 years of planning and design. This is likely the most challenging pipeline to be built in the last 20 years in North America. A key component on this project is the extensive use of Trenchless Construction including boring, technologies, horizontal directional drilling, direct pipe, microtunneling, and tunneling. This project includes a significant number of major trenchless crossings in the designed alignment. As a result, the risk mitigation efforts around the major trenchless crossings utilizing these technologies have been paramount in the minds of the design and construction teams. This paper describes the trenchless construction methods that are employed and the risk mitigation efforts utilized around these major trenchless crossings.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.863
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.223
Teacher spread0.211 · 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