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Record W2745415460 · doi:10.1071/aj13055

Integration of exploration, drilling and installation activities given regulatory challenges

2014· article· en· W2745415460 on OpenAlexaff
Roger Lewis

Bibliographic record

VenueThe APPEA Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsApache (Canada)
Fundersnot available
KeywordsScheduleTask (project management)Work (physics)Key (lock)DrillingProcess managementPlan (archaeology)Risk analysis (engineering)BusinessEngineering managementEngineeringConstruction engineeringComputer scienceSystems engineeringComputer security

Abstract

fetched live from OpenAlex

Coordination and integration of exploration activities, both seismic and drilling, development drilling and offshore installation campaigns is difficult at the best of times. Add to this the regulatory requirements, which included the establishment of NOPSEMA and the associated regulations in January 2012, and the already complex task of executing work efficiently became even more challenging. The paper explores the development and application of an integrated schedule that met the overall business needs as well as key stakeholders (Environment, Exploration, Drilling, Projects and Operations). Factors and constraints that had to be addressed included existing drilling rig and installation contracts with significant associated costs, maintaining project schedules that were sanctioned prior to regulatory changes coming into effect, resourcing levels and an environmental regulatory regime seeking continuous improvement. Individual stakeholders tended to focus on their own areas yet there are schedule inter-relationships with others that had knock on effects. The integrated schedule provided a proactive management tool that was and continues to be used to plan and review key activities in a constantly changing environment.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.191

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 head0.017
GPT teacher head0.198
Teacher spread0.181 · 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
Published2014
Admission routes1
Has abstractyes

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