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Record W2331821213 · doi:10.3720/japt.74.280

The role and the achievement of the Research Group for Production Method and Modeling of the Research Consortium for Methane Hydrate Resources in Japan

2009· article· en· W2331821213 on OpenAlexaboutno aff
Hideo Narita, Yoshihiro Masuda

Bibliographic record

VenueJournal of the Japanese Association for Petroleum Technology · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsMethaneHydrateNatural gasClathrate hydrateDissociation (chemistry)Physical propertyPetroleum engineeringSedimentEnvironmental scienceChemistryChemical engineeringGeologyEngineeringOrganic chemistryGeomorphology

Abstract

fetched live from OpenAlex

The role of the Research Group for Production Method and Modeling is to develop practical natural gas production methods from methane hydrate resources off-shore Japan. While natural gas produces from methane hydrate resources, unique behavior occurs in the methane hydrate sediment due to the physical properties of methane hydrate, and it does not observe in the conventional gas production. Four research subjects have been settled and carried out in Phase 1.In the subject of “Characterization of the sediment”, in-situ analysis system of physical properties of methane hydrate sediment has been developed, and various properties of fundamental properties, frame structures and mechanical properties of natural core sample were analyzed. Finally, methane hydrate reservoir parameters have been clarified.In the subject of “Clarification of the dissociation behavior of the sediment”, to establish the models for behavior over the entire sediment from the pore scale at the methane hydrate sediment dissociation, the analysis of the mass and the heat transfer phenomenon at the dissociation were executed. And the specific behavior during production process such as ice formation, methane hydrate re-generation, changes in mechanical properties are modeled. These models were introduced to the production simulator.In the subject of “Development of the production simulator”, various calculation modules such as a dissociation rate, a consolidation property and a permeability property, were developed. Exclusive production simulator (MH21-HYDRES) and geomechanical simulator (COTHMA) have been developed. Also, the performance of MH21-HYDRES was confirmed through the international bench mark test.In the subject of “Development of the dissociation and the recovery method”, various dissociation methods were tested to establish an efficient, economical production method. Finally, depressurization method was proposed as an efficient method, and it was verified in the on-shore production test at the Mackenzie Delta/Canada.In this review, the research achievements of the Research Group for Production Method and Modeling were introduced briefly.

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)0.025
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.315
Teacher spread0.288 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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