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Record W4254579089 · doi:10.4043/23494-ms

The Use of Unmanned Production Buoys to Develop Marginal or Submarginal Stranded Fields or End of Life Hydrocarbon Resources

2012· article· en· W4254579089 on OpenAlexaboutno aff
David Bone

Bibliographic record

VenueOffshore Technology Conference · 2012
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsBuoySubmarine pipelineResource (disambiguation)Work (physics)EngineeringProduction (economics)Marine engineeringPetroleum engineeringEnvironmental scienceComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

Abstract This paper summarises original development work implemented by Ocean Resourceinto a new type of Unmanned Production Buoy facility, the Sea Producer. Thiswork, which is both comprehensive and wide-ranging, covers the use ofautonomous buoy technology to develop various offshore oil and gas productionscenarios which would otherwise be uneconomic or indeed impossible. Recentlythis technology has received considerable interest as it represents, for somesmaller developments, possibly the only sensible and economic way forward. Thedesign concept is flexible and has applications well beyond simple production. Ocean is carrying out on-going development work into the use of the concept forcarbon sequestration allied to enhanced oil recovery. This novel developmentwill provide an initiating technology for offshore carbon sequestration againat hitherto highly economic costs. The detail of this is, however, beyond thescope of this paper. Ocean Resource has developed and pioneered the concept of remote offshore oilor gas production from an unmanned production buoy over a period of 20 yearsand is the only company with specific experience and expertise in this complexarea. Ocean has designed, built, operated and maintained its own high stabilitybuoy systems and has completed a number of buoy designs for working buoysystems in use with Apache, Mossgas Pty, Exxon-Mobil and others for oil relatedoperations. More recently Ocean Resource has been responsible for the design ofa 5MW Power Buoy for CNR International UK Ltd (Canadian Natural Resources). Unfortunately Monitor Oil PLC, the principle constructor, went into liquidationprior to completion of the project but it is envisaged that this unit, which is95% complete will shortly be redeployed on another field. The Power Buoylocated at Dundee is subject to an option agreement for this purpose. Ocean Resource's low cost autonomous buoy systems represent a game-changingtechnology that will enable the economic development of hitherto unexploitableor stranded oil and gas reserves. The technology is generally branded as SeaCommander where it relates to field control buoys (a developed product) and SeaProducer where it relates to production. Sea Producer enables a step-change in offshore development expenditure loweringcapital costs at the start of project together with greatly reduced operationalcosts leading to low " through-life" costs for standalone, step-out developmentsor early production scenarios. Furthermore the relatively minimal nature of theoffshore facilities comprising the buoy and storage system leads to rapiddeployment and hence faster income and profit return to any offshoreproject. The unique autonomous buoy technology has been developed by Ocean Resource overa period of 20 years and is an evolution of existing systems first deploed inthe 1980's. It is therefore both mature and proven. It can be used for sub-seaoil and gas field control, remote pigging, multi-phase pumping, chemicalinjection, subsea production support and remote flaring.

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)0.001
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.060
GPT teacher head0.273
Teacher spread0.213 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

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