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Record W4241389553 · doi:10.2523/131019-ms

A Multi-Segment Multiphase Wellbore Model Associated with Dynamic Gridding

2010· article· en· W4241389553 on OpenAlexaffabout
Chao Dong, Mehdi Bahonar, Zhangxin Chen, Jalel Azaiez

Bibliographic record

VenueProceedings of International Oil and Gas Conference and Exhibition in China · 2010
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCitationChinaExhibitionChenBeijingComputer scienceLibrary scienceWellboreDownloadWorld Wide WebInformation retrievalEngineeringGeographyPetroleum engineeringGeologyArchaeology

Abstract

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A Multi-Segment Multiphase Wellbore Model Associated with Dynamic Gridding Chao C. Dong; Chao C. Dong University of Calgary Search for other works by this author on: This Site Google Scholar Mehdi Bahonar; Mehdi Bahonar University of Calgary Search for other works by this author on: This Site Google Scholar Zhangxin Chen; Zhangxin Chen University of Calgary Search for other works by this author on: This Site Google Scholar Jalel Azaiez Jalel Azaiez University of Calgary Search for other works by this author on: This Site Google Scholar Paper presented at the International Oil and Gas Conference and Exhibition in China, Beijing, China, June 2010. Paper Number: SPE-131019-MS https://doi.org/10.2118/131019-MS Published: June 08 2010 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Get Permissions Search Site Citation Dong, Chao C., Bahonar, Mehdi , Chen, Zhangxin , and Jalel Azaiez. "A Multi-Segment Multiphase Wellbore Model Associated with Dynamic Gridding." Paper presented at the International Oil and Gas Conference and Exhibition in China, Beijing, China, June 2010. doi: https://doi.org/10.2118/131019-MS Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex Search Dropdown Menu nav search search input Search input auto suggest search filter All ContentAll ProceedingsSociety of Petroleum Engineers (SPE)SPE International Oil and Gas Conference and Exhibition in China Search Advanced Search Abstract As more and more wells have been put in operation, an accurate modeling of wellbore flow plays a significant role in reservoir simulation. One requirement of a wellbore model is its ability to trace various flow boundaries in the tubing, such as due to phase or flow regime changing. A black oil multi-phase multi-segment dynamical wellbore flow model has been coupled into Stanford's General Purpose Research Simulator (GPRS), which has the capability to simulate the isothermal black oil reservoir model to obtain detailed information on such important quantities as flow pattern and mixture velocity in any specific location of wellbore. A significant problem in this case is how to calculate fluid and velocity properties with a fine grid (segment) on the boundaries of different flow regimes in the wellbore. Local dynamical segment refinement in the well can accurately and effectively handle this problem. This wellbore model includes mass conservation equations for each component and a general pressure drop relationship. The multiphase wellbore flow is represented using a drift-flux model, which includes slip between three fluid phases. The model determines the pressure, mixture flow velocity and phase holdups as functions of time and the axial position along the well or alleviation depth. In addition, this model is capable of generating automatically adaptive segment meshes. We apply the black oil model to simulation of several cases on dynamical local mesh refinement isothermally, and compare the results with fixed coarse and fine meshes. The experiments show that using local segment refinement can yield accurate results with acceptable computational time. Keywords: accuracy, society of petroleum engineers, reservoir simulation, segment refinement, spe 131019, multi-segment multiphase wellbore model, production monitoring, node, data structure, flow regime Subjects: Well & Reservoir Surveillance and Monitoring, Reservoir Simulation, Production logging Copyright 2010, Society of Petroleum Engineers You can access this article if you purchase or spend a download.

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: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.422

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 head0.013
GPT teacher head0.254
Teacher spread0.241 · 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

Citations1
Published2010
Admission routes2
Has abstractyes

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