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Record W2398904022 · doi:10.1109/tmtt.2016.2561926

SAGD Process Monitoring in Heavy Oil Reservoir Using UWB Radar Techniques

2016· article· en· W2398904022 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2016
Typearticle
Languageen
FieldEngineering
TopicGeophysical Methods and Applications
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRadarGround-penetrating radarProcess (computing)Steam-assisted gravity drainagePetroleum engineeringRemote sensingEngineeringGeologyEnvironmental scienceOil sandsComputer scienceMaterials scienceAerospace engineering

Abstract

fetched live from OpenAlex

In this paper, practical considerations for steam assisted gravity drainage (SAGD) monitoring using ultra-wideband (UWB) radar are studied. The SAGD process and important factors to monitor its performance are discussed. Several experiments are conducted to evaluate the possibility of using UWB radar for SAGD process monitoring. All the experiments are carried out on a simplified laboratory prototype, which is a plateau of wet sand covered by dry sand to mimic the steamed area of the reservoir. The effect of the metal pipe on the pulse shape and propagation inside the reservoir is also experimentally studied. Additionally, a miniaturized Vivaldi antenna capable of radiating within oil-sand is designed, fabricated, and verified as a sensor for the radar monitoring system. Power budget and heterogeneity analysis of the heavy reservoir for different grades of Athabasca oil-sands are also studied. Results demonstrate the possibility of using UWB radar to detect and image the contour of the steamed area in the SAGD process. The information collected by the UWB radar can be used for optimizing steam injection to improve the usage of water and energy.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.483
Threshold uncertainty score0.681

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 head0.019
GPT teacher head0.289
Teacher spread0.270 · 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