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Record W2319329573 · doi:10.2118/178462-ms

Comparison of Direct-Wrap and Slip-On Wire Wrap Screens for Thermal Well Applications

2015· article· en· W2319329573 on OpenAlexaboutno aff
John Van Vliet, M. J. Hughes

Bibliographic record

VenueSPE Thermal Well Integrity and Design Symposium · 2015
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsInflowSlip (aerodynamics)ThermalLimitingPetroleum engineeringOil productionGeologyGeotechnical engineeringEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

Abstract Steam Assisted Gravity Drainage (SAGD) is an extensively used recovery method to produce bitumen and heavy oil from the Western Canadian oil sands. Due to the nature of these unconsolidated, heterogeneous formations, preventing sand production prevention is a concern for operators. Many different control devices are being used to prevent the production of sand, most of which consist of a controlled aperture or matrix as part of a production liner. Wire-wrap screen (WWS) liners have been used in conventional wells around the world for many years, but they are relatively new to thermal well applications. One area of uncertainty is the relative merits of direct-wrap and slip-on variants. Potential failure modes are identified and the relative performance of these two types of WWS is compared. The most likely damage mechanisms during well construction are different in cased-hole than in open-hole. In the former, dogleg severity plus compressive and torque loads in the base pipe are generally the limiting factor. In the latter, the major concern is concentrated contact loads between the WWS screen and the formation. During thermal operations, structural stability of common ported base pipe configurations is not a significant concern. Sand control and inflow performance depend on maintaining a consistent wrap wire aperture over wide-ranging formation stress, strain localization, and thermal load paths. In many cases the relevant design considerations are shared by the two WWS variants, but differences are identified and discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.987

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 head0.044
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, 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

Citations8
Published2015
Admission routes1
Has abstractyes

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