Comparison and improvement of laboratory SIP and NMR models of permeability

Gordon Osterman, Kristina Keating, Lee Slater, Andrew Binley

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

In this laboratory study, permeability models using spectral induced polarization (SIP) and nuclear magnetic resonance (NMR) data are tested on a large set of sandstone cores in order to compare the effectiveness of each method. Models from the literature are first tested to assess and compare their applicability to the sandstone cores. In order to correct for the effect of variations in mineralogy on the models, the samples are split into two distinct groups: cores without large amounts of iron oxides and cores with visible concentrations of iron oxides. Established petrophysical models are used to determine fitting parameters that for each group of cores, suggesting that mineralogy is a controlling factor in SIP and NMR data. This simple categorization according to the mineralogy is enough to reduce scatter in the predicted permeability values. In general, the NMR models outperform the SIP models, although accounting for mineralogy improves the SIP models to a greater extent.

Original languageEnglish (US)
Pages (from-to)5005-5010
Number of pages6
JournalSEG Technical Program Expanded Abstracts
Volume34
DOIs
StatePublished - 2015
EventSEG New Orleans Annual Meeting, SEG 2015 - New Orleans, United States
Duration: Oct 18 2011Oct 23 2011

All Science Journal Classification (ASJC) codes

  • Geotechnical Engineering and Engineering Geology
  • Geophysics

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