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Record W1976689162 · doi:10.1115/ipc2004-0685

Simulation Tool to Select the Most Optimum Route for Pipeline Projects

2004· article· en· W1976689162 on OpenAlexaff
Gary Hirst, Janaka Y. Ruwanpura

Bibliographic record

Venue2004 International Pipeline Conference, Volumes 1, 2, and 3 · 2004
Typearticle
Languageen
FieldDecision Sciences
TopicConstruction Project Management and Performance
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPipeline (software)Computer scienceProcess (computing)Risk analysis (engineering)Operations researchDecision support systemEngineeringData mining

Abstract

fetched live from OpenAlex

The decisions made during the process of selecting the route of pipeline are very critical to the project. Unfortunately, the decision is often complicated by the numerous variables that must be considered and the uncertainty of estimated costs. When choosing the pipeline route a project manager must balance the likely capital cost of the pipeline with the risks inherent in the chosen route. Ideally, a project manager would investigate numerous alternatives to fully explore the merits of various pipeline routes (including the level of risk) prior to making his final decision. This paper presents a project manager with a simulation tool to effectively and efficiently model the costs associated with various pipeline routes. The model is designed to be user friendly by replicating the usual decision-making process as much as possible. The model uses a graphical interface that promotes the rapid analysis of numerous alternatives and provides opportunities to investigate in detail the various aspects of a pipeline route. The model output includes a calculation of the costs of the alternative, a statistical analysis of the risks of the project and information that can be used to establish the confidence level of a pipeline target price.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.786
Threshold uncertainty score0.662

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
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 head0.068
GPT teacher head0.357
Teacher spread0.289 · 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

Citations2
Published2004
Admission routes1
Has abstractyes

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Same venue2004 International Pipeline Conference, Volumes 1, 2, and 3Same topicConstruction Project Management and PerformanceFrench-language works237,207