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...
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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 |
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_version_ |
1717381115690352640 |