MétaCan
Menu
Back to cohort
Record W2145290935 · doi:10.2991/eame-15.2015.200

A Study on Solving the Seepage Flow Model of Three-Area Composite Reservoir

2015· article· en· W2145290935 on OpenAlexaff
Xiaomeng Dong, Dong-xu Gui, S.C. Li, F.J. Zhang

Bibliographic record

VenueAdvances in engineering research/Advances in Engineering Research · 2015
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsNexen (Canada)
FundersXihua University
KeywordsFlow (mathematics)Composite numberComputer scienceGeologyPetroleum engineeringAlgorithmMathematicsGeometry

Abstract

fetched live from OpenAlex

This paper studies the seepage flow model of threearea composite reservoir under three kinds outer boundary conditions (infinite boundary, constant pressure boundary and closed outer boundary), in which influences of well-bore storage and effective radius are taken into consideration. On the basis of the theory of similar structure of the solution of the boundary value problem of differential equation, this paper obtains the solution of the seepage flow model of three-area composite reservoir. The study not only contributes to further analysis on the inherent law of the solution, but also supplements the study on composite reservoir.

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)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.228
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.005
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 head0.087
GPT teacher head0.364
Teacher spread0.277 · 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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueAdvances in engineering research/Advances in Engineering ResearchSame topicDam Engineering and SafetyFrench-language works237,207