LAPSE:2023.14893
Published Article

LAPSE:2023.14893
Splicing Method of Micro-Nano-Scale Pore Radius Distribution in Tight Sandstone Reservoir
March 2, 2023
Abstract
Accurate characterization of the micro- and nano-pore radius values in a tight sandstone reservoir is the key work to reasonably evaluate reservoir properties. The previous exploration of pore-stitching methods is mainly based on the morphological extension of similar segments. However, few scholars compare and verify the image and non-image stitching methods, so they cannot clarify the application scope of different pore-stitching methods. In this study, the pore structures of eight selected tight sandstone samples were evaluated using high-pressure mercury injection, nuclear magnetic resonance, scanning electron microscope, and the helium porosity test. Then, the C-value fitting, interpolation fitting, and morphological fitting were used to establish high-pressure mercury injection and Nuclear Magnetic Resonance (NMR) pore distribution curves to evaluate the differences among the micro-nano-scale pore radius values determined by the three fitting methods. Finally, the pore radius distribution is extracted from the binary image of Scanning Electron Microscope (SEM). After correcting the helium porosity data, the application scope of different fitting methods is evaluated by using the mean standard deviation verification method, and the optimal solution of the stitching method of pore radius distribution in each application scope is found. Compared to other studies, this research demonstrated three relatively simple methods for the determination of the full range of pore size distributions, providing a reliable method to evaluate the prerequisites of the range of application. This study provides a new idea for the micro-nano-scale pore radius splicing method of a tight sandstone reservoir, and the research results can provide a reference for the actual reservoir evaluation of oil and gas fields.
Accurate characterization of the micro- and nano-pore radius values in a tight sandstone reservoir is the key work to reasonably evaluate reservoir properties. The previous exploration of pore-stitching methods is mainly based on the morphological extension of similar segments. However, few scholars compare and verify the image and non-image stitching methods, so they cannot clarify the application scope of different pore-stitching methods. In this study, the pore structures of eight selected tight sandstone samples were evaluated using high-pressure mercury injection, nuclear magnetic resonance, scanning electron microscope, and the helium porosity test. Then, the C-value fitting, interpolation fitting, and morphological fitting were used to establish high-pressure mercury injection and Nuclear Magnetic Resonance (NMR) pore distribution curves to evaluate the differences among the micro-nano-scale pore radius values determined by the three fitting methods. Finally, the pore radius distribution is extracted from the binary image of Scanning Electron Microscope (SEM). After correcting the helium porosity data, the application scope of different fitting methods is evaluated by using the mean standard deviation verification method, and the optimal solution of the stitching method of pore radius distribution in each application scope is found. Compared to other studies, this research demonstrated three relatively simple methods for the determination of the full range of pore size distributions, providing a reliable method to evaluate the prerequisites of the range of application. This study provides a new idea for the micro-nano-scale pore radius splicing method of a tight sandstone reservoir, and the research results can provide a reference for the actual reservoir evaluation of oil and gas fields.
Record ID
Keywords
C-value fitting, image and non-image method comparison and verification, micro-nano-scale pores, stitching method, tight sandstone
Subject
Suggested Citation
Zhang S, Yu C, Su J, Liu D. Splicing Method of Micro-Nano-Scale Pore Radius Distribution in Tight Sandstone Reservoir. (2023). LAPSE:2023.14893
Author Affiliations
Zhang S: Exploration and Development Research Institute, Shengli Oilfield, SINOPEC, Dongying 257015, China
Yu C: Exploration and Development Research Institute, Shengli Oilfield, SINOPEC, Dongying 257015, China
Su J: School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China [ORCID]
Liu D: School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China [ORCID]
Yu C: Exploration and Development Research Institute, Shengli Oilfield, SINOPEC, Dongying 257015, China
Su J: School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China [ORCID]
Liu D: School of Human Settlement and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China [ORCID]
Journal Name
Energies
Volume
15
Issue
5
First Page
1642
Year
2022
Publication Date
2022-02-23
ISSN
1996-1073
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Original Submission
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PII: en15051642, Publication Type: Journal Article
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LAPSE:2023.14893
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https://doi.org/10.3390/en15051642
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