Improving pore-size distribution and permeability prediction from NMR using DT2 maps

Kristina Keating; Judy Robinson; Lee Slater; Tonian Robinson; Beth Parker

doi:10.1190/segam2019-3214831.1

Improving pore-size distribution and permeability prediction from NMR using DT2 maps

Kristina Keating, Judy Robinson, Lee Slater, Tonian Robinson, Beth Parker

Rutgers Newark, Earth & Environmental Science

Rutgers, The State University

Research output: Contribution to journal › Conference article › peer-review

Abstract

Surface relaxivity values were estimated from laboratory nuclear magnetic relaxation diffusion relaxation time (DT2) maps and used to predict pore-size distributions and permeability. Data were collected on 13 water saturated sandstone and dolostone rock cores. For 9 of the cores, the pore-size distributions and permeability were well predicted from this approach; however, for 4 of the cores estimates of surface relaxivity could not be determined due to poor fits. This study demonstrates a new approach for predicting permeability that can be applied in the field without the need for laboratory calibration of permeability models.

Original language	American English
Pages (from-to)	4809-4813
Number of pages	5
Journal	SEG Technical Program Expanded Abstracts
DOIs	https://doi.org/10.1190/segam2019-3214831.1
State	Published - Aug 10 2019
Event	Society of Exploration Geophysicists International Exposition and 89th Annual Meeting, SEG 2019 - San Antonio, United States Duration: Sep 15 2019 → Sep 20 2019

ASJC Scopus subject areas

Geotechnical Engineering and Engineering Geology
Geophysics

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10.1190/segam2019-3214831.1

Cite this

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title = "Improving pore-size distribution and permeability prediction from NMR using DT2 maps",

abstract = "Surface relaxivity values were estimated from laboratory nuclear magnetic relaxation diffusion relaxation time (DT2) maps and used to predict pore-size distributions and permeability. Data were collected on 13 water saturated sandstone and dolostone rock cores. For 9 of the cores, the pore-size distributions and permeability were well predicted from this approach; however, for 4 of the cores estimates of surface relaxivity could not be determined due to poor fits. This study demonstrates a new approach for predicting permeability that can be applied in the field without the need for laboratory calibration of permeability models.",

author = "Kristina Keating and Judy Robinson and Lee Slater and Tonian Robinson and Beth Parker",

note = "Funding Information: This material is based upon work supported by the U.S. Army Corps of Engineers, Humphreys Engineering Center Support Activity under contract W912HQ-14-C-0018. The Hydrite site cores were obtained from coring activities funded by the site owner, the Hydrite Chemical Corporation, in support of the University of Guelph G360 Institute research program. Publisher Copyright: {\textcopyright} 2019 SEG; Society of Exploration Geophysicists International Exposition and 89th Annual Meeting, SEG 2019 ; Conference date: 15-09-2019 Through 20-09-2019",

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doi = "10.1190/segam2019-3214831.1",

language = "American English",

pages = "4809--4813",

journal = "SEG Technical Program Expanded Abstracts",

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T1 - Improving pore-size distribution and permeability prediction from NMR using DT2 maps

AU - Keating, Kristina

AU - Robinson, Judy

AU - Slater, Lee

AU - Robinson, Tonian

AU - Parker, Beth

N1 - Funding Information: This material is based upon work supported by the U.S. Army Corps of Engineers, Humphreys Engineering Center Support Activity under contract W912HQ-14-C-0018. The Hydrite site cores were obtained from coring activities funded by the site owner, the Hydrite Chemical Corporation, in support of the University of Guelph G360 Institute research program. Publisher Copyright: © 2019 SEG

PY - 2019/8/10

Y1 - 2019/8/10

N2 - Surface relaxivity values were estimated from laboratory nuclear magnetic relaxation diffusion relaxation time (DT2) maps and used to predict pore-size distributions and permeability. Data were collected on 13 water saturated sandstone and dolostone rock cores. For 9 of the cores, the pore-size distributions and permeability were well predicted from this approach; however, for 4 of the cores estimates of surface relaxivity could not be determined due to poor fits. This study demonstrates a new approach for predicting permeability that can be applied in the field without the need for laboratory calibration of permeability models.

AB - Surface relaxivity values were estimated from laboratory nuclear magnetic relaxation diffusion relaxation time (DT2) maps and used to predict pore-size distributions and permeability. Data were collected on 13 water saturated sandstone and dolostone rock cores. For 9 of the cores, the pore-size distributions and permeability were well predicted from this approach; however, for 4 of the cores estimates of surface relaxivity could not be determined due to poor fits. This study demonstrates a new approach for predicting permeability that can be applied in the field without the need for laboratory calibration of permeability models.

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DO - 10.1190/segam2019-3214831.1

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JO - SEG Technical Program Expanded Abstracts

JF - SEG Technical Program Expanded Abstracts

T2 - Society of Exploration Geophysicists International Exposition and 89th Annual Meeting, SEG 2019

Y2 - 15 September 2019 through 20 September 2019

ER -

Improving pore-size distribution and permeability prediction from NMR using DT2 maps

Abstract

ASJC Scopus subject areas

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