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Record W2460906134 · doi:10.3968/8568

The Screening of Biopolymer Bacteria in Porous MediaThe Screening of Biopolymer Bacteria in Porous Media

2016· article· en· W2460906134 on OpenAlexvenueno aff
Jingchun Wu, Zhao Yang, Fang Shi

Bibliographic record

VenueAdvances in petroleum exploration and development · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsBiopolymerFermentationBacteriaFood scienceStarchChemistryStrain (injury)MicroorganismPolymerPorous mediumPorosityOrganic chemistryBiology

Abstract

fetched live from OpenAlex

MEOR has advantages of less polluting environment and low cost, which can be extended to the volume of the biopolymer produced by metabolism, and it is one of the main mechanisms of microbial enhanced oil recovery. The fermentation, the study of biopolymers produced growth and metabolism of bacteria rules; after using the orthogonal experimental method and optimized the optimum culture conditions, through the indoor driving oil experimental evaluation of biological polymer flooding effect. The optimal bio polymer producing strain DJ was screened out. The strain had the ability to produce polymer and the product quantity was high. The effect of the biopolymer flooding was good. DJ strain optimum culture time for 72 hours, the optimal fermentation culture conditions: fermentation temperature 35 degrees Celsius; shaking speed r/min; 10 mL of inoculum; fermentation culture medium formula: glucose 40 g/L, 20 g/L of corn steep liquor, corn starch 2 G/L, NaNO3 3 g/L, KH2PO4 0.5 g/L, Na2HPO4·12H2O 1 g/L, MgSO4·7H2O 0.5 g/L, CaCl2 0.05 g/L, pH 7.2.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.023
GPT teacher head0.232
Teacher spread0.209 · 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 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
Published2016
Admission routes1
Has abstractyes

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