Methods and systems employing NMR-based prediction of pore throat size distributions
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United States of America Patent
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Jun 18, 2019
Grant Date -
Dec 22, 2016
app pub date -
Feb 26, 2015
filing date -
Feb 26, 2015
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Abstract
Systems, methods, and software for predicting a pore throat size distribution are described. A representative method includes obtaining a nuclear magnetic resonance (NMR) relaxation-time distribution data set. The method also includes training a radial basis function (RBF) model based on the NMR relaxation-time distribution data set and a measured pore throat size distribution data set. The method also includes obtaining a subsequent NMR relaxation-time distribution data set. The method also includes employing the trained RBF model to predict a pore throat size distribution data set based at least in part on the subsequent NMR relaxation-time distribution data set. The method also includes storing or displaying a predicted pore throat size distribution corresponding to the predicted pore throat size distribution data set. The predicted pore throat size distribution is associated with a rock sample or subsurface formation volume.
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