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Record W2006479613 · doi:10.2118/165446-ms

Estimation of Three-Phase Relative Permeability Isoperms in Heavy Oil/Water/Carbon Dioxide and Heavy Oil/Water/Methane Systems

2013· article· en· W2006479613 on OpenAlexafffund
Farshid Torabi, Manoochehr Akhlaghinia, Christine W. Chan

Bibliographic record

VenueSPE Heavy Oil Conference-Canada · 2013
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsUniversity of Regina
FundersPetroleum Technology Research Centre
KeywordsRelative permeabilityMethanePermeability (electromagnetism)Carbon dioxideResidual oilSaturation (graph theory)Environmental scienceMaterials sciencePetroleum engineeringMechanicsChemistryGeologyPorosityComposite materialMathematics

Abstract

fetched live from OpenAlex

Abstract Three-phase relative permeability data is an Achilles' heel in the field performance prediction of the enhanced heavy oil recovery processes with numerical simulation. Minor inaccuracy could lead to erroneous predictions and, in turn, considerable revenue losses. A technique is proposed to utilize two- and three-phase displacement experiments in order to estimate relative permeability isoperms for a fluid system of heavy oil/water/gas. Three-phase flow zone is determined in a ternary diagram with residual oil and irreducible water saturations obtained from two-phase heavy oil/water displacements experiments. A developed fully implicit three-phase simulator mimics three-phase displacement experiments in the form of gas (carbon dioxide and methane) injection into a consolidated Berea core saturated with heavy oil (1174cP at 28°C) and water. Three-phase relative permeability data corresponds to a saturation path, drawn across the three-phase flow zone, is tuned to match simulated pressure drop, oil and water production with three-phase displacement experiment. Results have indicated, due to high residual oil saturation, a small three-phase flow zone can exist in presence of heavy oils. Although different curvatures have been obtained with relative permeability isoperms of oil, water, and gas phases; however, repeating experinemts with different gases (methane and carbon dioxide) indicates that relative permeability isoperms does not change siginificantly in presence of different gases. Comparison of the proposed procedure with the unsteady state technique indicates that unsteady state technique fails to provide reliable relative permeability data for numerical simulation purposes since it calculates three-phase relative permeability data at saturations out of the three-phase flow zone. In addition, in the case of water, unsteady state technique gives relative permeability values for a short range of water saturations. Proposed technique takes advantage of practicability of displacement experiments to estimate three-phase relative permeabilities it and, also, eliminates uncertainties with unsteady state method such as inaccurate derivative calculations. Although proposed method indirectly estimates three-phase relative permeabilities; sensitivity analysis shows a good margin of confidence with the relative permeability isoperms.

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)0.001
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 score0.722
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.015
GPT teacher head0.227
Teacher spread0.212 · 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.

Study designBench or experimental
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

Citations2
Published2013
Admission routes2
Has abstractyes

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