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Record W4404869606 · doi:10.1016/j.jmr.2024.107811

Changing the resonant nucleus by altering the static field, compensation of <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si3.svg"><mml:mrow><mml:mi>γ</mml:mi></mml:mrow></mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si4.svg"><mml:mrow><mml:msub><mml:mi>B</mml:mi><mml:mn>0</mml:mn></mml:msub></mml:mrow></mml:math> effects in T2 and T2* measurements of porous media

2024· article· lv· W4404869606 on OpenAlexafffund
Rheya Rajeev, Naser Ansaribaranghar, Andrés Ramírez Aguilera, Florea Marica, Laura Romero de Zerón, Bruce J. Balcom

Bibliographic record

VenueJournal of Magnetic Resonance · 2024
Typearticle
Languagelv
FieldChemistry
TopicAdvanced NMR Techniques and Applications
Canadian institutionsUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsField (mathematics)Scalable Vector GraphicsPhysicsMathematicsComputer scienceWorld Wide WebPure mathematics

Abstract

fetched live from OpenAlex

• Multinuclear MR study of 1 H, 13 C, and 23 Na at constant Larmor frequency of 33 MHz. • A variable field superconducting magnet was employed. • For a given f 0 = 33.71 MHz, the B 0 field for 1 H: 0.79 T; 23 Na: 2.99 T 13 C: 3.15 T. • Similar line widths & inhomogeneous broadening effects observed in T 2 * measurements. • Similar diffusion through internal field gradient effects observed between nuclei. Multinuclear 1 H, 13 C, and 23 Na magnetic resonance (MR) has many advantages for studying porous media systems containing hydrocarbons and brine. In recent work, we have explored changing the nucleus measured, keeping the Larmor frequency constant, by changing the static magnetic field B 0 . Increasing the static B 0 field distorts the field in the pore space due to susceptibility mismatch between the matrix and pore fluid. Distortion of the magnetic field in the pore space scales with the applied static field. The gradients that result from the spatial variation of the distorted field will also scale with B 0 . The equations that describe the inhomogeneous broadening in T 2 * show that the MR result depends on γ B 0 . The diffusion through internal field gradients effect on T 2 depends on the product of γ and G, with G depending on B 0 . Increasing the static field to bring a nucleus with lower γ into resonance at the same frequency will result in the products γ B 0 and γ G being constant, and therefore, inhomogeneous broadening and diffusion attenuation effects in porous media are predicted to be constant. We explore the T 2 * hypothesis with 23 Na and 1 H measurements of brine in porous reservoir core plugs. We explore the diffusion through internal field gradients effect hypothesis with 1 H and 13 C measurements of decane saturated glass beads. The nuclei chosen for study: 1 H, 13 C, and 23 Na are the three most important nuclei for studies of fluids (brine and hydrocarbons) in reservoir core plugs. These three nuclei have a common resonance frequency of 33.7 MHz at static fields of 0.79 T, 3.19 T, and 2.99 T, respectively. All three fields are readily achieved with our variable field superconducting magnet.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.018
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.004

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 head0.018
GPT teacher head0.249
Teacher spread0.231 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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