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Record W4220859952 · doi:10.4043/31554-ms

First Field Deployment of Erosion Control Technology for High Sand Production Wells in Offshore Malaysia

2022· article· en· W4220859952 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 Asia · 2022
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsIntecsea (Canada)
Fundersnot available
KeywordsWellheadErosionPipingSubmarine pipelinePipeline transportErosion controlEnvironmental scienceChokeGeotechnical engineeringEngineeringPetroleum engineeringGeologyEnvironmental engineering

Abstract

fetched live from OpenAlex

Abstract Sand production in oil and gas fields severely affects multiphase flow pipelines, piping and production facilities result in erosion damages and operational difficulties including valves, bends and other geometric fittings leading to loss of primary containment (LOPC). Presently, there is no technology available which can control sand erosion in real-time and help optimize production. This paper aims to present the first field deployment of a uniquely engineered flow modification device in debottlenecking a high sand producing well and maximizing production while reduction in erosion. The sand erosion challenge can be overcome by using a patented Erosion Control Technology (ECT), to deflect and redistribute sand in the product flow stream. ECT has been successfully developed and validated through three test programs between 2016-2019. Following these, ECT technology maturity has been qualified for field application and selected to be deployed by PETRONAS, in one of the offshore fields located in Sabah, Malaysia, which is currently experiencing high erosion due to high sand production. The ECT pipe spool consists of a 3D printed Inconel 718 alloy insert integrated into carbon steel pipe to protect an elbow from sand erosion within the topsides wellhead piping system upstream of the wellhead choke. A control elbow upstream of the ECT device has also been installed to act as a mean of comparison throughout the pilot. The protected elbow and control elbow will be monitored using manual UT at marked locations to measure localized wall thickness variation over the pilot testing period. The pilot is part way through its test program having been installed and commissioned at the end of 2021. Photos of the arrangement are shared in this paper along with the baseline wall thickness measurement. The pilot trial success criteria are to show that the protected elbow will have minimal wall loss compared to the control elbow showing the effectiveness of ECT. The pilot expects ECT to reduce erosion due to sand and safeguard the facilities as well as maximize well production in preventing shortfall in total field production.

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 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 score0.703
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.210
Teacher spread0.204 · 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