Experimental study on changes of pore structure and mechanical properties of sandstone after high-temperature treatment using nuclear magnetic resonance

2020 ◽  
Vol 275 ◽  
pp. 105739
Author(s):  
Min Li ◽  
Deming Wang ◽  
Zhenlu Shao
Keyword(s):  
Mechanical Properties ◽  
Experimental Study ◽  
Nuclear Magnetic Resonance ◽  
High Temperature ◽  
Magnetic Resonance ◽  
Pore Structure ◽  
Temperature Treatment ◽  
High Temperature Treatment ◽  
Nuclear Magnetic

An experimental study on the fracture behaviors of marble specimens subjected to high temperature treatment

2020 ◽  
Vol 225 ◽  
pp. 106862 ◽  
Author(s):  
Qingzhen Guo ◽  
Haijian Su ◽  
Jiawei Liu ◽  
Qian Yin ◽  
Hongwen Jing ◽  
...  
Keyword(s):  
Experimental Study ◽  
High Temperature ◽  
Temperature Treatment ◽  
High Temperature Treatment ◽  
Fracture Behaviors

scholarly journals Nuclear Magnetic Resonance of Aromatic Heterocyclics. IV. The 1H and 19F Spectra of Substituted Fluorothiophenes. An Experimental Study.

1971 ◽  
Vol 25 ◽  
pp. 3309-3323 ◽  
Author(s):  
Sören Rodmar ◽  
Luis Moraga ◽  
Salo Gronowitz ◽  
Ulf Rosén ◽  
J. Koskikallio ◽  
...  
Keyword(s):  
Experimental Study ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Nuclear Magnetic

Anisotropics-wave gap and nuclear magnetic resonance in high-temperature superconductors

1994 ◽  
Vol 49 (17) ◽  
pp. 12245-12254 ◽  
Author(s):  
Asle Sudbo/ ◽  
Sudip Chakravarty ◽  
Steven Strong ◽  
Philip W. Anderson
Keyword(s):  
Nuclear Magnetic Resonance ◽  
High Temperature ◽  
Magnetic Resonance ◽  
High Temperature Superconductors ◽  
Nuclear Magnetic

scholarly journals Permeability Calculation of Sand Conglomerate Reservoirs Based on Nuclear Magnetic Resonance (NMR)

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
You Zhou ◽  
Songtao Wu ◽  
Zhiping Li ◽  
Rukai Zhu ◽  
Shuyun Xie ◽  
...  
Keyword(s):  
Experimental Data ◽  
Mechanical Properties ◽  
Thermal Conductivity ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Junggar Basin ◽  
Northwest China ◽  
Free Fluid ◽  
Iteration Parameters ◽  
Nuclear Magnetic

The concept of an intermingled fractal unit (IFU) model was first proposed by Atzeni and Pia in 2008, and their model has since been successfully applied to predict thermal conductivity, electrical conductivity, and the mechanical properties of porous media materials. This paper, based on the Pia IFU model, fits the pore size distribution spectrum to quantitatively characterize the Triassic Karamay Formation conglomerate reservoirs in the Mahu region, in the Junggar Basin of Northwest China, and makes permeability predictions using the free fluid T 2 spectrum according to the nuclear magnetic resonance (NMR) experimental data. The results show that the accuracy of the IFU model is significantly higher than that of the classic Coates and SDR models for conglomerate reservoirs with complex pore structures, indicating that this is an effective method to calculate permeability based on NMR. In addition, preliminary discussions are entered into regarding the intermingled fractal expression of the Kozeny-Carman equation and the relative permeability, in order to widen the application of the IFU model in reservoir physics. The derived expressions appear complicated in form but are straightforward to calculate and apply using computer programming since their iteration parameters are definite. The findings set out in this paper provide a valuable reference for further research of the IFU model in reservoir physics.

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