A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction
Here, we estimate parameters from the Katz and Thompson permeability model using laboratory complex electrical conductivity (CC) and nuclear magnetic resonance (NMR) data to build permeability models parameterized with geophysical measurements. We use the Katz and Thompson model based on the characteristic hydraulic length scale, determined from mercury injection capillary pressure estimates of pore throat size, and the intrinsic formation factor, determined from multisalinity conductivity measurements, for this purpose. Two new permeability models are tested, one based on CC data and another that incorporates CC and NMR data. From measurements made on fortyfive sandstone cores collected from fifteen different formations, we evaluate how well the CC relaxation time and the NMR transverse relaxation times compare to the characteristic hydraulic length scale and how well the formation factor estimated from CC parameters compares to the intrinsic formation factor. We find: (1) the NMR transverse relaxation time models the characteristic hydraulic length scale more accurately than the CC relaxation time (R ^{2} of 0.69 and 0.33 and normalized root mean square errors (NRMSE) of 0.16 and 0.21, respectively); (2) the CC estimated formation factor is well correlated with the intrinsic formation factor (NRMSE50.23). We demonstrate that that permeability estimates from the jointNMRCCmore »
 Authors:

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 Rutgers Univ.Newark, Newark, NJ (United States)
 Lancaster Univ., Lancaster (United Kingdom)
 Publication Date:
 Grant/Contract Number:
 1246507
 Type:
 Accepted Manuscript
 Journal Name:
 Water Resources Research
 Additional Journal Information:
 Journal Volume: 52; Journal Issue: 6; Journal ID: ISSN 00431397
 Publisher:
 American Geophysical Union (AGU)
 Research Org:
 Rutgers Univ., Newark, NJ (United States)
 Sponsoring Org:
 National Science Foundation (NSF); USDOE
 Country of Publication:
 United States
 Language:
 English
 Subject:
 36 MATERIALS SCIENCE; permeability; complex conductivity; nuclear magnetic resonance; induced polarization
 OSTI Identifier:
 1418510
Osterman, Gordon, Keating, Kristina, Binley, Andrew, and Slater, Lee. A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction. United States: N. p.,
Web. doi:10.1002/2015WR018472.
Osterman, Gordon, Keating, Kristina, Binley, Andrew, & Slater, Lee. A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction. United States. doi:10.1002/2015WR018472.
Osterman, Gordon, Keating, Kristina, Binley, Andrew, and Slater, Lee. 2016.
"A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction". United States.
doi:10.1002/2015WR018472. https://www.osti.gov/servlets/purl/1418510.
@article{osti_1418510,
title = {A laboratory study to estimate pore geometric parameters of sandstones using complex conductivity and nuclear magnetic resonance for permeability prediction},
author = {Osterman, Gordon and Keating, Kristina and Binley, Andrew and Slater, Lee},
abstractNote = {Here, we estimate parameters from the Katz and Thompson permeability model using laboratory complex electrical conductivity (CC) and nuclear magnetic resonance (NMR) data to build permeability models parameterized with geophysical measurements. We use the Katz and Thompson model based on the characteristic hydraulic length scale, determined from mercury injection capillary pressure estimates of pore throat size, and the intrinsic formation factor, determined from multisalinity conductivity measurements, for this purpose. Two new permeability models are tested, one based on CC data and another that incorporates CC and NMR data. From measurements made on fortyfive sandstone cores collected from fifteen different formations, we evaluate how well the CC relaxation time and the NMR transverse relaxation times compare to the characteristic hydraulic length scale and how well the formation factor estimated from CC parameters compares to the intrinsic formation factor. We find: (1) the NMR transverse relaxation time models the characteristic hydraulic length scale more accurately than the CC relaxation time (R2 of 0.69 and 0.33 and normalized root mean square errors (NRMSE) of 0.16 and 0.21, respectively); (2) the CC estimated formation factor is well correlated with the intrinsic formation factor (NRMSE50.23). We demonstrate that that permeability estimates from the jointNMRCC model (NRMSE50.13) compare favorably to estimates from the Katz and Thompson model (NRMSE50.074). Lastly, this model advances the capability of the Katz and Thompson model by employing parameters measureable in the field giving it the potential to more accurately estimate permeability using geophysical measurements than are currently possible.},
doi = {10.1002/2015WR018472},
journal = {Water Resources Research},
number = 6,
volume = 52,
place = {United States},
year = {2016},
month = {3}
}
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