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Record W1981907457 · doi:10.4043/25278-ms

Hybrid Split VFD Poses to Significantly Extend Subsea Processing Tieback Distance

2014· article· en· W1981907457 on OpenAlexaff
Richard Voight

Bibliographic record

VenueOffshore Technology Conference · 2014
Typearticle
Languageen
FieldEngineering
TopicAdvanced DC-DC Converters
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsSubseaEngineeringPower transmissionAutomotive engineeringElectrical engineeringElectric power transmissionPower (physics)Robustness (evolution)HarmonicsTransmission systemMarine engineeringComputer scienceTransmission (telecommunications)Voltage

Abstract

fetched live from OpenAlex

Abstract Oil and gas operators are developing subsea production systems at greater and greater distances from their respective hosts in deepwater basins worldwide. Many of these subsea systems have the potential to include subsea boosting systems (pumping and/or compression) in these installations, which presents the need for significant amounts of AC power to be delivered over these increasing distances. Recent experience and subsequent investigation has shown that the required AC power can be delivered efficiently and cost effectively to these installations via an innovative system approach involving a split of the major components of a typical Variable Frequency Drive (VFD) system, locating the AC/DC conversion equipment at the host facility where power is generated, locating the DC/AC conversion equipment on the seabed, in proximity to the subsea boosting equipment, and connecting the two via a DC transmission cable. Through utilization of DC power transmission, we expect to eliminate the reactive power issues and line harmonics issues associated with AC transmission. Innovational approaches such as this one will make these installations more practical and cost effective, and open the door to even further capability.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.940
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 science0.0010.000
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 head0.009
GPT teacher head0.215
Teacher spread0.206 · 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.

Study designOther design
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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