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Record W4405361268 · doi:10.1115/ipc2024-132875

A Pipeline Is a Pipeline Is a Pipeline, or Is It? Product Type, Project Differentiation, and Risk Today

2024· article· en· W4405361268 on OpenAlex
Jason Gillespie, Jon Alan Schmidt, Jeff Raun

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsEXP (Canada)
Fundersnot available
KeywordsPipeline (software)Computer scienceProduct (mathematics)Risk analysis (engineering)BusinessOperating systemMathematics

Abstract

fetched live from OpenAlex

Abstract In the past ten years, many pipeline and other linear energy projects have been cancelled in North America for economic, regulatory, or social license reasons. This trend is continuing today for energy transition-related pipelines and other linear projects. While the reasons for project cancellation are complex, key themes have been identified including a changing regulatory environment; political influence; increased opposition from affected and unaffected stakeholders; and market forces. Numerous project examples exist to support the analysis of oil and gas pipeline project execution risk. The paper explores how these examples illustrate future projects integral to enabling the transportation of carbon dioxide, hydrogen, biofuels, power or other products relevant to energy transition in Canada and the US. Traditional pipeline projects are compared to energy transition-related projects, testing the question of whether project differentiation and product type matter. Finally, the analysis identifies opportunities for reducing risk in pipeline project execution during the planning and regulatory phases. Energy transition faces significant new challenges requiring projects to manage an evolving regulatory, stakeholder and political landscape. Understanding these challenges helps proponents better position their projects with stakeholders who are similarly learning how modern technologies and products will be planned within existing pipeline development frameworks.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
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
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.273
Teacher spread0.253 · 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