Pore Structure Characterization of Low-Permeability Gravity-Flow Reservoirs: A Case Study of the Middle Es3 Member in Daluhu Area, the Dongying Depression, China

The low-permeability gravity-flow sandstone reservoirs in the Dongying Depression, China, contain substantial oil reserves, yet their development is constrained by complex pore structures. In this study, optical and scanning electron microscopy (SEM) observations were integrated with nuclear magnetic resonance (NMR) measurements to investigate the pore system, pore size distribution, and connectivity of Es3z sandstone. By applying a Gaussian multi-peak fitting algorithm to the NMR T2 spectra, parameters that directly capture the physical attributes of the rocks were extracted. Based on the correlation between these parameters and permeability, three distinct pore structure types (A, B, and C) were identified. The results demonstrate the effectiveness of using these NMR T2 spectral parameters for quantitative pore structure characterization and classification, providing a robust framework for evaluating and predicting the quality of low-permeability reservoirs.

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Journal
Processes
Published
2025-04-28
DOI
https://doi.org/10.3390/pr13051346
Citations
1
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.86

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article

Pore Structure Characterization of Low-Permeability Gravity-Flow Reservoirs: A Case Study of the Middle Es3 Member in Daluhu Area, the Dongying Depression, China

Yong Wang, Dongmou Huang, Yifan Zhang, Shilong Ma et al.
1 citations
Processes
Hydrocarbon exploration and reservoir analysis
0.86
article

Pore Structure Characterization of Low-Permeability Gravity-Flow Reservoirs: A Case Study of the Middle Es3 Member in Daluhu Area, the Dongying Depression, China

Yong Wang, Dongmou Huang, Yifan Zhang, Shilong Ma, Shaochun Yang
article en
1 citations

Abstract

The low-permeability gravity-flow sandstone reservoirs in the Dongying Depression, China, contain substantial oil reserves, yet their development is constrained by complex pore structures. In this study, optical and scanning electron microscopy (SEM) observations were integrated with nuclear magnetic resonance (NMR) measurements to investigate the pore system, pore size distribution, and connectivity of Es3z sandstone. By applying a Gaussian multi-peak fitting algorithm to the NMR T2 spectra, parameters that directly capture the physical attributes of the rocks were extracted. Based on the correlation between these parameters and permeability, three distinct pore structure types (A, B, and C) were identified. The results demonstrate the effectiveness of using these NMR T2 spectral parameters for quantitative pore structure characterization and classification, providing a robust framework for evaluating and predicting the quality of low-permeability reservoirs.

ProcessesVol. 13(5)
Shengli Oilfield Central Hospital (CN), China University of Petroleum, East China (CN)
National Science and Technology Major Project
Openalex Percentile: Top 32%
Hydrocarbon exploration and reservoir analysis
0.86
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