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Title: Low-Field Nuclear Magnetic Resonance Characterization of Carbonate and Sandstone Reservoirs From Rock Spring Uplift of Wyoming

Abstract

Laboratory measurements including gas (N 2) porosity and permeability, time-domain nuclear magnetic resonance, thin section, and scanning electron microscopy analysis were conducted to obtain petrographical and petrophysical descriptions of the Weber Sandstone and Madison Limestone at the Rock Spring Uplift, a potential carbon dioxide storage site in Southwestern Wyoming. The relationships between pore structures, such as pore geometry, pore-size distribution, pore network, and porosity/permeability are investigated. First, using thin sections combined with scanning electron microscopy for pore structures description, all samples are described in detail from the geological, petrographysical, and diagenetic viewpoint. Results show that within the Madison Limestone, pore types include intercrystalline, vuggy, moldic, or mixed (combination of all other pore types). Both moldic and vuggy pore types are associated with samples of high porosity and permeability. Nuclear magnetic resonance relaxation time distributions show either bimodal or multimodal distributions. Large relaxation time components are associated with samples with large pores, whereas small components are dominated by small pores. The T 2 geometric mean correlates well with gas permeability. Additionally, short-time diffusion coefficients (D) were measured by pulsed field gradient method using a series of gradient strengths. We found that diffusion coefficient distributions correlate with the corresponding T 2 distributionsmore » for macropores. By comparing the dominant peak position of T 2 distributions and their corresponding diffusion coefficient distributions, we predicted the surface relaxivity of different rock types. We found that surface relaxivities of Weber Sandstone samples can be well predicted, while for Madison Limestone samples, surface relaxivities are overestimated due to diffusive pore coupling effect.« less

Authors:
 [1]; ORCiD logo [1];  [1];  [1];  [1];  [2]; ORCiD logo [1]
  1. Univ. of Wyoming, Laramie, WY (United States)
  2. Wyoming State Geological Survey, Laramie, WY (United States)
Publication Date:
Research Org.:
Univ. of Wyoming, Laramie, WY (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1539754
Alternate Identifier(s):
OSTI ID: 1470598
Grant/Contract Number:  
[FE0023328; DE547 FE0023328]
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Solid Earth
Additional Journal Information:
[ Journal Volume: 123; Journal Issue: 9]; Journal ID: ISSN 2169-9313
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Geochemistry & Geophysics

Citation Formats

Wang, Heng, Alvarado, Vladimir, McLaughlin, J. Fred, Bagdonas, Davin A., Kaszuba, John P., Campbell, Erin, and Grana, Dario. Low-Field Nuclear Magnetic Resonance Characterization of Carbonate and Sandstone Reservoirs From Rock Spring Uplift of Wyoming. United States: N. p., 2018. Web. doi:10.1029/2018jb015779.
Wang, Heng, Alvarado, Vladimir, McLaughlin, J. Fred, Bagdonas, Davin A., Kaszuba, John P., Campbell, Erin, & Grana, Dario. Low-Field Nuclear Magnetic Resonance Characterization of Carbonate and Sandstone Reservoirs From Rock Spring Uplift of Wyoming. United States. doi:10.1029/2018jb015779.
Wang, Heng, Alvarado, Vladimir, McLaughlin, J. Fred, Bagdonas, Davin A., Kaszuba, John P., Campbell, Erin, and Grana, Dario. Mon . "Low-Field Nuclear Magnetic Resonance Characterization of Carbonate and Sandstone Reservoirs From Rock Spring Uplift of Wyoming". United States. doi:10.1029/2018jb015779. https://www.osti.gov/servlets/purl/1539754.
@article{osti_1539754,
title = {Low-Field Nuclear Magnetic Resonance Characterization of Carbonate and Sandstone Reservoirs From Rock Spring Uplift of Wyoming},
author = {Wang, Heng and Alvarado, Vladimir and McLaughlin, J. Fred and Bagdonas, Davin A. and Kaszuba, John P. and Campbell, Erin and Grana, Dario},
abstractNote = {Laboratory measurements including gas (N2) porosity and permeability, time-domain nuclear magnetic resonance, thin section, and scanning electron microscopy analysis were conducted to obtain petrographical and petrophysical descriptions of the Weber Sandstone and Madison Limestone at the Rock Spring Uplift, a potential carbon dioxide storage site in Southwestern Wyoming. The relationships between pore structures, such as pore geometry, pore-size distribution, pore network, and porosity/permeability are investigated. First, using thin sections combined with scanning electron microscopy for pore structures description, all samples are described in detail from the geological, petrographysical, and diagenetic viewpoint. Results show that within the Madison Limestone, pore types include intercrystalline, vuggy, moldic, or mixed (combination of all other pore types). Both moldic and vuggy pore types are associated with samples of high porosity and permeability. Nuclear magnetic resonance relaxation time distributions show either bimodal or multimodal distributions. Large relaxation time components are associated with samples with large pores, whereas small components are dominated by small pores. The T2 geometric mean correlates well with gas permeability. Additionally, short-time diffusion coefficients (D) were measured by pulsed field gradient method using a series of gradient strengths. We found that diffusion coefficient distributions correlate with the corresponding T2 distributions for macropores. By comparing the dominant peak position of T2 distributions and their corresponding diffusion coefficient distributions, we predicted the surface relaxivity of different rock types. We found that surface relaxivities of Weber Sandstone samples can be well predicted, while for Madison Limestone samples, surface relaxivities are overestimated due to diffusive pore coupling effect.},
doi = {10.1029/2018jb015779},
journal = {Journal of Geophysical Research. Solid Earth},
number = [9],
volume = [123],
place = {United States},
year = {2018},
month = {8}
}

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