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Record W4230248500 · doi:10.2523/20704-ms

Dry versus Wet: An Evaluation of Subsea Tie-backs and Surface Platform Development Strategies for Nova Scotia

2010· article· en· W4230248500 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of Offshore Technology Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsMartec (Canada)
FundersNova Scotia Department of Energy
KeywordsSubseaNova scotiaNova (rocket)Environmental scienceMarine engineeringEngineeringOceanographyGeologyAeronautics

Abstract

fetched live from OpenAlex

The Nova Scotian Offshore has many discovered fields with low quantities of recoverable resources. These marginal fields will need development plans which require lower capital costs than that of standard development. Other areas of the world have also faced similar issues regarding the economics of developing marginal fields. Some of these fields have become economically viable by reducing the cost of the offshore facility and production used to extract and distribute the gas or oil.This paper presents the results of the evaluation of a case study of a marginal gas field in the Sable Island area of Nova Scotian Offshore. It provides a comparison of the technologies and strategies that would be used to develop the field for a low production rate, including a direct comparison of an exclusively subsea development with that of a minimal Dry Caisson platform development. The comparison includes costs as well as benefits and disadvantages of each development option.The evaluation results show that for the case study water depth of 40m, the Dry Caisson platform is suitable for use and provides an option for development with a capital cost far lower than the comparable subsea option. Limitations of access, installation considerations and maintenance of both systems are also compared.Introduction. Currently the Nova Scotian Offshore (NSO) region has many discoveries which could be defined as marginal fields, as shown in Figure 1. Historically, offshore field development for the NSO has used standard large scale and capital intensive infrastructure which would likely be uneconomical for these marginal fields. Minimal platforms and subsea development may provide more cost effective options for future developments.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.336
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
Bibliometrics0.0000.000
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 head0.045
GPT teacher head0.271
Teacher spread0.227 · 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