Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data

The pore structure of shale gas reservoir is complex and heterogeneous, leading to great challenges in reservoir characterization and effectiveness evaluation. In order to establish a quantitative evaluation method for pore structure of the shale gas reservoir, 20 cores of the second member of Doush...

Full description

Bibliographic Details
Main Authors: Kun MENG, Sheng-jian WANG, Zong-an XUE, Rui-qing HOU, Liang XIAO
Format: Article
Language:zho
Published: Science Press 2021-06-01
Series:Chinese Journal of Magnetic Resonance
Subjects:
Online Access:http://121.43.60.238/bpxzz/article/2021/1000-4556/2020-2856.shtml
id doaj-871a3641809a47afa9aa3dfd7a734dc8
record_format Article
spelling doaj-871a3641809a47afa9aa3dfd7a734dc82021-09-13T09:45:40ZzhoScience PressChinese Journal of Magnetic Resonance1000-45562021-06-0138221522610.11938/cjmr20202856Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance DataKun MENG0Sheng-jian WANG1Zong-an XUE2Rui-qing HOU3Liang XIAO41. China University of Geosciences, Beijing 100083, China 2. Oil & Gas Survey, China Geological Survey, Beijing 100083, ChinaOil & Gas Survey, China Geological Survey, Beijing 100083, ChinaOil & Gas Survey, China Geological Survey, Beijing 100083, ChinaGeological Logging Company, Sinopec Shengli Petroleum Engineering Corporation Limited, Dongying 257064, China China University of Geosciences, Beijing 100083, ChinaThe pore structure of shale gas reservoir is complex and heterogeneous, leading to great challenges in reservoir characterization and effectiveness evaluation. In order to establish a quantitative evaluation method for pore structure of the shale gas reservoir, 20 cores of the second member of Doushantuo Formation in Yichang area, western Hubei were selected as the experimental sample. An echo interval of 0.069 ms was used to carry out nuclear magnetic resonance (NMR) experiments under 100% salt water saturation. The obtained T2 spectra were analyzed with the multifractal characteristics method, and the parameters sensitive to the pore structure of the shale reservoirs were extracted. A method and a standard to classify shale reservoir types were developed, based on the minimum and maximum generalized fractal dimension difference (Dmin-Dmax) and spectral width (Δα). This method is of great significance for improving the prediction accuracy of shale gas reservoirs and guiding development and selection.http://121.43.60.238/bpxzz/article/2021/1000-4556/2020-2856.shtmlshale gas reservoirnuclear magnetic resonance (nmr)pore structurelow echo intervalmultifractal theory
collection DOAJ
language zho
format Article
sources DOAJ
author Kun MENG
Sheng-jian WANG
Zong-an XUE
Rui-qing HOU
Liang XIAO
spellingShingle Kun MENG
Sheng-jian WANG
Zong-an XUE
Rui-qing HOU
Liang XIAO
Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data
Chinese Journal of Magnetic Resonance
shale gas reservoir
nuclear magnetic resonance (nmr)
pore structure
low echo interval
multifractal theory
author_facet Kun MENG
Sheng-jian WANG
Zong-an XUE
Rui-qing HOU
Liang XIAO
author_sort Kun MENG
title Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data
title_short Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data
title_full Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data
title_fullStr Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data
title_full_unstemmed Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data
title_sort quantitative evaluation of shale pore structure using nuclear magnetic resonance data
publisher Science Press
series Chinese Journal of Magnetic Resonance
issn 1000-4556
publishDate 2021-06-01
description The pore structure of shale gas reservoir is complex and heterogeneous, leading to great challenges in reservoir characterization and effectiveness evaluation. In order to establish a quantitative evaluation method for pore structure of the shale gas reservoir, 20 cores of the second member of Doushantuo Formation in Yichang area, western Hubei were selected as the experimental sample. An echo interval of 0.069 ms was used to carry out nuclear magnetic resonance (NMR) experiments under 100% salt water saturation. The obtained T2 spectra were analyzed with the multifractal characteristics method, and the parameters sensitive to the pore structure of the shale reservoirs were extracted. A method and a standard to classify shale reservoir types were developed, based on the minimum and maximum generalized fractal dimension difference (Dmin-Dmax) and spectral width (Δα). This method is of great significance for improving the prediction accuracy of shale gas reservoirs and guiding development and selection.
topic shale gas reservoir
nuclear magnetic resonance (nmr)
pore structure
low echo interval
multifractal theory
url http://121.43.60.238/bpxzz/article/2021/1000-4556/2020-2856.shtml
work_keys_str_mv AT kunmeng quantitativeevaluationofshaleporestructureusingnuclearmagneticresonancedata
AT shengjianwang quantitativeevaluationofshaleporestructureusingnuclearmagneticresonancedata
AT zonganxue quantitativeevaluationofshaleporestructureusingnuclearmagneticresonancedata
AT ruiqinghou quantitativeevaluationofshaleporestructureusingnuclearmagneticresonancedata
AT liangxiao quantitativeevaluationofshaleporestructureusingnuclearmagneticresonancedata
_version_ 1717381115690352640