Uncertainty Quantification of Geophysical and Hydrologic Parameters Estimated From Borehole Nuclear Magnetic Resonance Data

Uncertainty Quantification of Geophysical and Hydrologic Parameters Estimated From Borehole Nuclear Magnetic Resonance Data

Abstract Borehole nuclear magnetic resonance (bNMR) data are typically used to infer in situ hydrologic properties. Partial water content as a function of pore size is estimated by fitting the measured NMR response to a multi‐exponential T2 distribution, and the sum of estimated T2 amplitudes equals...

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Bibliographic Details
Main Authors: Burke J. Minsley, Stephanie N. Phillips, Stephanie R. James
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Journal of Geophysical Research: Machine Learning and Computation
Subjects:
nuclear magnetic resonance
NMR
borehole
uncertainty quantification
mcmc
hydrology
Online Access:https://doi.org/10.1029/2024JH000461
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https://doi.org/10.1029/2024JH000461

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