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Record W1749545851 · doi:10.3968/6827

The Characteristics of the Dominant Flow Channel Using Ma20 Block in the Liaohe Oilfield as an Example

2015· article· en· W1749545851 on OpenAlexvenueno aff
Liu Jiyu, Sun Axiang, Dan Meng

Bibliographic record

VenueAdvances in petroleum exploration and development · 2015
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsChannel (broadcasting)Petroleum engineeringFlow (mathematics)Water injection (oil production)Water cutGeologyBlock (permutation group theory)EngineeringMechanicsElectrical engineering

Abstract

fetched live from OpenAlex

The existence of the dominant flow channel caused the oil field recovery efficiency low, the rising cost of production and the development benefit drop, which brought great pressure to oilfield development, so the study of the characteristics of the dominant flow channel is increasingly urgent. According to the geologic features and the production process of long-term water injection development in the Ma20 block of the Liaohe oilfield, reservoir heterogeneity is the root cause of forming the dominant flow channel. The characteristics of the dominant flow channel in the process of water injection were analyzed. By analyzing the performance characteristics of the dominant flow channel in the dynamic production data, electrical, static and so forth, the dominant flow channel was determined to guide water injection development of oilfield and provide the basis for the research of other dominant flow channel of high water-cut stage reservoir. Key words: The dominant flow channel; Development benefit; Geologic features; Heterogeneity; Development of water injection

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.058
GPT teacher head0.292
Teacher spread0.234 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

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