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Record W2611608338 · doi:10.2118/186080-ms

Determination of Three-Phase Relative Permeability in CHOPS Processes by Use of an Improved Iterative Ensemble Smoother

2017· article· en· W2611608338 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

VenueSPE Reservoir Characterisation and Simulation Conference and Exhibition · 2017
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Regina
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRelative permeabilityPermeability (electromagnetism)WormholePetroleum engineeringComputer scienceMechanicsEnvironmental scienceBiological systemGeologyGeotechnical engineeringChemistryPhysicsPorosity

Abstract

fetched live from OpenAlex

Abstract In this paper, a robust and pragmatic technique has been proposed to determine the three-phase relative permeability of cold heavy oil production with sand (CHOPS) processes by comprehensively incorporating dynamic wormhole growth and foamy oil flow with an improved iterative ensemble smoother (IES), which is achieved by normalizing both model parameters and measured production profiles. More specifically, a recently proposed pressure-gradient-based sand failure criterion has been applied to characterize the dynamic wormhole propagations, while the evolution of foamy oil has been achieved through kinetic reactions embedded in a reservoir simulator. Only the three-phase relative permeability of the wormhole network has been parameterized using a power-law model since the multi-phase flow within the wormholes dominates, in particular, production performance of the CHOPS processes. Then, the model parameter matrix consisting of coefficients of the power-law model, the pressure-gradient-based sand failure criterion, and the foamy oil reactions can be inversely and implicitly estimated through the improved IES algorithm, provided that the production profiles of the CHOPS processes are made available. Effects of the wormhole growth and the foamy oil flow on the three-phase relative permeability are implicitly examined through the integrated and improved model parameter matrix. Subsequently, the newly proposed technique was validated by use of a CHOPS experiment in the literature. In addition to the converged three-phase relative permeability, the well matched experimental measurements (i.e., cumulative oil, gas, and sand production) have synergistically proven that the newly proposed method is qualified for accurately determining the three-phase relative permeability in the CHOPS processes. In order to reproduce the transition stage on production profiles, both one set and two sets of three-phase relative permeability were used during the entire production period, though the former fails to do so. It has been substantiated that two sets of the three-phase relative permeability are able to reproduce the transition stage through considering the effects of sand failure and foamy oil of the CHOPS processes. In addition, residual oil saturation of the wormhole network is found to dramatically reduce once the sand production is initialized. Also, it is found that gas relative permeability is more sensitive to the gas saturation for the second set, though it is relatively smaller than that of the first set.

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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: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.632

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 communication0.0000.002
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 head0.060
GPT teacher head0.329
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