MétaCan
Menu
Back to cohort
Record W4240681888 · doi:10.2118/2008-147

Multiphase Flow in Fractures: Co-Current and Counter-Current Flow in a Fracture

2008· article· en· W4240681888 on OpenAlexafffundabout
Saeed Shad, Ian D. Gates

Bibliographic record

VenueCanadian International Petroleum Conference · 2008
Typearticle
Languageen
FieldEngineering
TopicHydraulic Fracturing and Reservoir Analysis
Canadian institutionsUniversity of Calgary
FundersUniversity of Calgary
KeywordsCurrent (fluid)Flow (mathematics)Fracture (geology)Multiphase flowPetroleum engineeringComputer scienceMechanicsGeologyElectrical engineeringGeotechnical engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

Abstract Multiphase flow through fractures is important not only for naturally fractured petroleum reservoirs but also for underground disposal of radioactive waste and geothermal ydrotransport, cap rock integrity, as well as underground water and aquifer flow. For instance, naturally fractured reservoirs located in Northern Alberta contain large quantities of heavy oil and bitumen. It still remains unclear how multiple phases flow in fractures and how to determine the relative permeability of each phase that can be used in reservoir simulators. In typical practice, simulation of fractured reservoirs uses, in general, very crude and unproven hypotheses such as a linear relative permeability curves. However, by using inaccurate relative permeability curves, large errors of the predicted oil recovery can result. In this work, a relatively simple flow model is derived to determine analytic functions for the relative permeability curves versus phase saturation in a single fracture. The results show that relative permeability is not just a function of the fluid saturations but also the fluid properties and flow pattern within the fracture itself. The analysis reveals that at certain viscosity ratios and flow pattern conditions, the relative permeability of one phase can exceed unity due to lubrication effects. The available experimental data confirms the validity of the proposed model Introduction Fracture dominated flow is not only important for naturally fractured petroleum reservoirs but also for underground disposal of radioactive waste, geothermal hydrotransport, cap rock integrity, and underground water and aquifer flow. In naturally fractured reservoirs, fractures are highly conductive flow pathways that dominate fluid transport throughout the reservoir. To examine flow of multiphase flow in fractures, many different experimental1,2,9,20,27,33,43,44, theoretical3,4,24,41,42 and numerical studies13,25,26,28,32,35,46 have been done. However flow structure and momentum transfer between flowing phases in fractures are not yet well understood9,10,14. Transport parameters such as relative flow rates of phases and the relationship between fracture geometryand flow remain unclear. The relative permeability concept can be used to describe behaviour of multiple phases flowing together through porous media, interfering and aiding each other to move under the action of a pressure gradient. Despite the importance of relative permeability in fracture flows, still there is no unique and consistent theory which provides an easy, yet computationally inexpensive, method to calculate relative permeability curves in fractures. In this research, a new model is derived for multiple phase layer flow in a single fracture to demonstrate how relative permeability in fractures depends on flow structure as well as fluid properties. Background: Modelling of multiphase flow in fractures is usually based on three common methods: porous medium approach, pipe flow model and the equivalent homogeneous single-phasemodel8,9,14,18. For phase i, from Darcy's law, the velocity in the x direction is given by: Equation (1) (Available in full paper) where K is absolute permeability of the fracture, kri is relative permeabilityPi is pressure, and µi is viscosity of phase i, respectively. The origin of relative permeability arrives from the relative resistance to flow of each phase and interference between phases as they flow under their individual pressure gradients.

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 categoriesMeta-epidemiology (narrow)
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 score0.209
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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 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

Citations2
Published2008
Admission routes3
Has abstractyes

Explore more

Same venueCanadian International Petroleum ConferenceSame topicHydraulic Fracturing and Reservoir AnalysisFrench-language works237,207