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Record W2040663671 · doi:10.4043/20338-ms

Pioneer challenge Reduction of MEG consumption using KHI for hydrate control in a deepwater environment offshore Egypt

2010· article· en· W2040663671 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.

Bibliographic record

VenueOffshore Technology Conference · 2010
Typearticle
Languageen
FieldEngineering
TopicOffshore Engineering and Technologies
Canadian institutionsNalcor Energy (Canada)
Fundersnot available
KeywordsConsumption (sociology)Submarine pipelineHydrateReduction (mathematics)GeologyControl (management)Environmental scienceOceanographyComputer scienceChemistryArtificial intelligence

Abstract

fetched live from OpenAlex

Abstract Hydrate control in a subsea gas environment is a challenge. The West Delta Deep Marine (WDDM) sub-sea gas production and gathering system was designed to use monoethylene glycol (MEG) and methanol injection as the means of controlling hydrate formation in the Sub-sea infrastructure. The produced fluids are transported to shore based processing facilities via two trunk lines, one 36?? and one 24??. The aqueous phase of these fluids, being a mixture of produced water, condensed water, condensate and MEG are separated and processed through a vacuum distillation system to recover the MEG. Due to the high cost for the MEG and the unavailability of the MEG in the country, it was recommended to do something different to reduce the operating cost and maximize the production by reducing the shut down of the wells due to hydrate formation. The first step to reduce or eliminate these problems was to reduce the MEG consumption. This was achieved by using the MEG as a carrier to apply kinetic hydrate inhibitor (KHI) at the well flow lines. This philosophy was applied first in the Sapphire field (offshore Egypt), which has the highest hydrate tendency. The outcome was a 70% reduction in MEG consumption in this field. This paper will explain the preparation, execution of the application of KHI in the Sapphire system and cost benefits. Introduction The formation of natural gas hydrates in gas pipelines and oil production and processing facilities is a major operational challenge for petroleum producers. These hydrates are crystalline, ice-like compounds composed of water and natural gas that form when small hydrocarbon molecules such as methane and ethane are trapped in hydrogen-bonded water cages under conditions of high pressure (typically above 50 bars) and low temperature (typically below 30ºC). The small, individual crystalline cages tend to agglomerate, forming larger hydrate structures that can adhere to surfaces such as internal pipe walls. If allowed to form and grow unchecked, these hydrate crystals can damage the pipeline or lead to blockage of the pipeline to the point of a pipe rupture (17).

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.499
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.222
Teacher spread0.205 · 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