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Record W6906371217 · doi:10.17632/d6pp2vrrf5.1

Petrophysical and Geochemical Evaluation of Shales Using Magnetic Resonance T1-T2* Relaxation Correlation

2021· dataset· en· W6906371217 on OpenAlexaboutno aff

Bibliographic record

VenueData Archiving and Networked Services (DANS) · 2021
Typedataset
Languageen
FieldPhysics and Astronomy
TopicNMR spectroscopy and applications
Canadian institutionsnot available
Fundersnot available
KeywordsOil shalePetrophysicsSample (material)Sample preparationRelaxation (psychology)Analytical Chemistry (journal)

Abstract

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Description of this data\n******************* Please view the README.txt file for detailed documentation of data. ********************\n\nDate of Release: 2020/12/1\nIdentifier: doi: 10.17632/d6pp2vrrf5.1\nPermalink: http://dx.doi.org/10.17632/d6pp2vrrf5.1\n\nAssociated publication: Zamiri MS, MacMillan B, Marica F, Guo J, Romero-Zerón L, Balcom BJ. Petrophysical and Geochemical Evaluation of Shales Using Magnetic Resonance T1-T2* Relaxation Correlation. Fuel 2020.\nLink to publication: ....\n\nSuggested citation: Please reference the associated publication above when using any datasets or materials described in the README file.\n\nContact information:\n\tBruce J. Balcom, UNB MRI Research Centre, Physics Department, University of New Brunswick, Fredericton, NB E3B 5A3, Canada, bjb@unb.ca\n\n\tMohammad Sadegh Zamiri, UNB MRI Research Centre, Physics Department, University of New Brunswick, Fredericton, NB E3B 5A3, Canada, mzamiri@unb.ca\n\nThis directory contains the following datasets:\n\tE1_as_received:\t\t\tT1-T2 and T1-T2star measurement data of as-received shale sample E1.\n\tEG4_as_received:\t\tT1-T2 and T1-T2star measurement data of as-received shale sample EG4.\n\tEG4_crushed_native\t\tT1-T2 and T1-T2star measurement data of crushed EG4 shale sample with native fluid content.\n\tEG4_crushed_desorption\t\tT1-T2 and T1-T2star measurement data of crushed EG4 shale sample after water desorption.\n\tEG4_crushed_adsorption\t\tT1-T2 and T1-T2star measurement data of crushed EG4 shale sample after water adsorption.\n\tEG4_crushed_Evaporation_Day0\tT1-T2star measurement data of crushed EG4 shale sample with native fluid content used in evaporation experiment.\n\tEG4_crushed_Evaporation_Day1\tT1-T2star measurement data of crushed EG4 shale sample after placing in the oven at 60C for 1 day.\n\tEG4_crushed_Evaporation_Day5\tT1-T2star measurement data of crushed EG4 shale sample after placing in the oven at 60C for 5 day.\n\tEG4_crushed_Evaporation_Day11\tT1-T2star measurement data of crushed EG4 shale sample after placing in the oven at 60C for 11 day.\n\nFile formats are in *.mat files. Matlab (MathWorks) can be used to read the data.\n\nLicence: CC BY 4.0

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.899
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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 head0.023
GPT teacher head0.329
Teacher spread0.306 · 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
GenreDataset

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

Citations2
Published2021
Admission routes1
Has abstractyes

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