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Record W2325858566 · doi:10.2118/19270-ms

Small Field Development—Offshore Newfoundland and Labrador, Canada

2007· article· en· W2325858566 on OpenAlexaffabout
David Hawkins, W.I. Chipman, Graham Dillabough, Max Ruelokke, Fred Way

Bibliographic record

VenueProceedings of Offshore Technology Conference · 2007
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsPetroleum Research Newfoundland and Labrador
Fundersnot available
KeywordsCitationLibrary scienceIconSubmarine pipelineEngineeringWorld Wide WebArchaeologyComputer scienceHistory

Abstract

fetched live from OpenAlex

Small Field Development and Subsea Tieback Technologies David W. Hawkins; David W. Hawkins C-NLOPB Search for other works by this author on: This Site Google Scholar Wayne Ivan Chipman; Wayne Ivan Chipman Canada Newfoundland Offshore Pet Search for other works by this author on: This Site Google Scholar Graham D. Dillabough; Graham D. Dillabough C-NLOPB Search for other works by this author on: This Site Google Scholar Max Ruelokke; Max Ruelokke C-NLOPB Search for other works by this author on: This Site Google Scholar Fred Way Fred Way C-NLOPB Search for other works by this author on: This Site Google Scholar Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2008. Paper Number: OTC-19270-MS https://doi.org/10.4043/19270-MS Published: May 05 2008 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Hawkins, David W., Chipman, Wayne Ivan, Dillabough, Graham D., Ruelokke, Max, and Fred Way. "Small Field Development and Subsea Tieback Technologies." Paper presented at the Offshore Technology Conference, Houston, Texas, USA, May 2008. doi: https://doi.org/10.4043/19270-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAll ProceedingsOffshore Technology ConferenceOTC Offshore Technology Conference Search Advanced Search AbstractTwenty-four oil and/or gas discoveries have been made offshore Newfoundland and Labrador. Three of the oil discoveries have been developed and a fourth is under consideration. The focus of development activity has been on the larger oil discoveries. As production from the larger discoveries matures, facilities and other infrastructure will become available for development of the remaining smaller discoveries. Development and tie-in of smaller pools and fields provides an opportunity to utilize this spare production capacity at these fields. Currently, there are several satellite tie-in and expansion projects in progress and others are under review. Development of the discovered smaller fields will play an important part in sustaining production from offshore Newfoundland and Labrador. In addition, many of the offshore basins are under explored and represent other opportunities to supply the next round of developments.IntroductionNewfoundland and Labrador, Canada's easterly province (Fig. 1) is strategically positioned on international shipping lanes, with unique access to global petroleum markets. Keywords: oil production, discovery, extension, estimates of resource in place, development plan, field development optimization and planning, production capacity, offshore petroleum board, reservoir characterization, basin Subjects: Reservoir Characterization, Reserves Evaluation, Asset and Portfolio Management, Strategic Planning and Management, Estimates of resource in place, Field development optimization and planning, Exploration and appraisal strategies This content is only available via PDF. 2008. Offshore Technology Conference You can access this article if you purchase or spend a download.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.156
Threshold uncertainty score0.522

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0040.001
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1560.020

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 head0.189
Teacher spread0.177 · 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 designObservational
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".

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Citations0
Published2007
Admission routes2
Has abstractyes

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