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Record W7144115909 · doi:10.24568/6132

東北日本新第三系泥質岩中でのメチルジベンゾチオフェン異性体変化

2003· article· ja· W7144115909 on OpenAlexaboutno aff
良和 三瓶, 徳行 鈴木, 哲也 塩見

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2003
Typearticle
Languageja
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMaturity (psychological)Vitrinite reflectanceVitriniteDiagenesisSubsidenceStage (stratigraphy)Neogene

Abstract

fetched live from OpenAlex

Isomerizations of methyldibenzothiophene from Neogene mudstones in northeast Japan were examined as a maturity parameter of organic matter during the diagenesis to catagenesis stage.The relationship between methyldibenzothiophene(MDBT)ratio(MDR:4-MDBT/1-MDBT)and vitrinite reflectance(Ro)from the Tojo TS-1 well,which underwent subsidence at low heating rate,can be described by the equation:MDR=15.1 Ro-5.35(n=11,r=0.85,Ro=0.4-0.7%).This equation is similar to that from Elmworth 6-28-68-13 W 6 M in Western Canada.New combination of the 1-MDBT,(2- + 3-)MDBT and 4-MDBT isoomers are used to be a new maturity parameter which is useful in the high maturity stage,up to 3% Ro.The ratio(2- + 3-)MDBT to(1- + 2- + 3- + 4-)MDBT increases from 0.2 to 0.6 over the range 0.4-3.0% Ro.The ratio(2- + 3-)MDBT to 4-MDBT was constant at about 0.5 in the range 0.4-1.5% Ro,and then increases from 0.5 to 4.5 in the range 1.5-2.9% Ro.Therefore,the(2- + 3-)/(1- + 2- + 3- + 4-)MDBT ratio is possibly on effective maturity indicator through the oil generation stage to higher maturity stages such as the dry gas zone.After the catagenesis stage,(2- + 3-)/(4-)MDBT ratio and high Ro gradients could assist interpretation of scattered(2- + 3-)/(1- + 2- + 3- + 4-)MDBT ratios with low gradient.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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 designBench or experimental
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

Citations0
Published2003
Admission routes1
Has abstractyes

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