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Record W2801420351 · doi:10.4043/29072-ms

Integration of Multi-Site Engineering, Procurement, Fabrication and Commissioning

2018· article· en· W2801420351 on OpenAlexaffabout
Steve Edwards, Derek Fuller, Miriam Johnson, M. A. Nahas

Bibliographic record

VenueOffshore Technology Conference · 2018
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsExxonMobil (Canada)
Fundersnot available
KeywordsScope (computer science)ProcurementEngineeringWork (physics)ScheduleProject commissioningSubmarine pipelineEngineering managementConstruction engineeringSystems engineeringManufacturing engineeringMechanical engineeringComputer scienceBusinessPublishingOperating system

Abstract

fetched live from OpenAlex

In November 2017, ExxonMobil Canada Properties (EM) started production from the world-class Hebron development located approximately 340 km offshore St. John's, Newfoundland and Labrador (NL), Canada. The Hebron Platform is a standalone concrete single shaft Gravity Base Structure with an Offshore Loading System, Single Integrated Drill Rig, and Topsides production facilities capable of handling 150,000 barrels per day of crude oil. The Hebron Project was developed from Pre-FEED to Start-Up over the course of eight years in more than a dozen work sites. The project has achieved schedule commitments and liquidated more than 60 million work hours. A large contributor to success was the effective integration and management of engineering, fabrication and commissioning organizations at all work locations. This paper will explore the execution techniques which enabled the organization to successfully manage a complex scope divided amongst diverse work locations and contractors as well as describe some of the leadership and management techniques employed to create productive work behaviors across teams and work locations.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.003

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 head0.019
GPT teacher head0.235
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations6
Published2018
Admission routes2
Has abstractyes

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