Irreducible Water Saturation Measurement of Volcanic Rocks Using Nuclear Magnetic Resonance

2011 ◽  
Vol 346 ◽  
pp. 852-857
Author(s):  
Yu Zhou ◽  
He Kun Guo ◽  
Guo Qi Wei
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Water Saturation ◽  
Volcanic Rocks ◽  
New Method ◽  
Fundamental Parameters ◽  
Irreducible Water Saturation ◽  
Key Factor ◽  
Structure Complexity ◽  
Nuclear Magnetic

Irreducible water saturation is one of the fundamental parameters in characterizing reservoir formations, and determined as the key factor in reserve calculation and fluid type identification. Measurement on whole core must be taken to analyze irreducible water saturation of volcanic rocks as a result of lithological diversity, porous structure complexity and strong heterogeneity. A new testing method for whole core is proposed by combining Nuclear Magnetic Resonance and centrifugal tests. This new method measures irreducible water saturation using T2 spectrum of whole core demarcated by T2 cutoff measured on 25mm or 38mm diameter core samples which drilled from the whole core. The new method solved the size and shape restricts, long test cycles and viscous fingering defects of conventional methods. According to the comparison with conventional method, the results of the new method coincide well on homogeneous rocks, and are more accuracy with fractured samples.

Determination of nuclear magnetic resonance T2 cutoff value based on multifractal theory — An application in sandstone with complex pore structure

Geophysics ◽  
2015 ◽  
Vol 80 (1) ◽  
pp. D11-D21 ◽  
Author(s):  
Xinmin Ge ◽  
Yiren Fan ◽  
Xuejuan Zhu ◽  
Yiguo Chen ◽  
Runze Li
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Pore Structure ◽  
Water Saturation ◽  
Influential Factors ◽  
Structure Characterization ◽  
Cutoff Value ◽  
Irreducible Water Saturation ◽  
Multifractal Theory ◽  
Nuclear Magnetic

The cutoff value of nuclear magnetic resonance (NMR) transversal relaxation time [Formula: see text] is vital for pore structure characterization, permeability prediction, and irreducible water saturation calculation. Conventional default values often lead to inaccurate results for rocks with complex pore structure. Based on NMR experiments and multifractal theory, we have developed an effective statistical method to predict [Formula: see text] cutoff values without other petrophysical information. The method is based on multifractal theory to analyze the NMR [Formula: see text] spectrum with the assumption that the [Formula: see text] spectrum is an indicator of pore size distribution. Multifractal parameters, such as multifractal dimension, singularity strength, and mass exponent, are calculated to investigate the multifractal behavior of [Formula: see text] spectrum via NMR experiments and a dyadic scaling-down algorithm. To obtain the optimal [Formula: see text] cutoff value, the rotation speed and time of centrifugation are enlarged increasingly to optimal centrifugal state. A predicating model for [Formula: see text] cutoff value based on multiple linear regressions of multifractal parameters was proposed after studying the influential factors. On the basis of the multifractal analysis of NMR [Formula: see text] spectrum, a reasonable predication model for [Formula: see text] cutoff value was rendered. Upon testing, the predicted results were highly consistent with the experimental results.

scholarly journals Identification of Ambergris from the New Bedford Whaling Museum by Nuclear Magnetic Resonance Spectroscopy

1996 ◽  
Vol 79 (2) ◽  
pp. 423-425 ◽  
Author(s):  
George A Moniz ◽  
Gerald B Hammond
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Fourier Transform ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Nuclear Magnetic Resonance Spectroscopy ◽  
Adsorption Chromatography ◽  
New Method ◽  
Major Constituent ◽  
Resonance Spectroscopy ◽  
Nuclear Magnetic

Abstract A new method for the separation and identification of ambrein in ambergris using adsorption chromatography and 1H and 13C Fourier transform nuclear magnetic resonance spectroscopy (FT-NMR) is presented. We demonstrated the effectiveness of this method by analyzing an approximately 85-year-old sample of suspected ambergris from the New Bedford Whaling Museum (New Bedford, MA). Results prove that ambrein remains a major constituent of ambergris even after 85 years of storage under ordinary conditions.

scholarly journals C-S-H Pore Size Characterization Via a Combined Nuclear Magnetic Resonance (NMR)–Scanning Electron Microscopy (SEM) Surface Relaxivity Calibration

Materials ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1779 ◽  
Author(s):  
Christoph Naber ◽  
Florian Kleiner ◽  
Franz Becker ◽  
Long Nguyen-Tuan ◽  
Christiane Rößler ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Ion Beam ◽  
New Method ◽  
Sem Images ◽  
Surface Relaxivity ◽  
Scanning Electron ◽  
Nuclear Magnetic

A new method for the nuclear magnetic resonance (NMR) surface relaxivity calibration in hydrated cement samples is proposed. This method relies on a combined analysis of 28-d hydrated tricalcium silicate samples by scanning electron microscopy (SEM) image analysis and 1H-time-domain (TD)-NMR relaxometry. Pore surface and volume data for interhydrate pores are obtained from high resolution SEM images on surfaces obtained by argon broad ion beam sectioning. These data are combined with T2 relaxation times from 1H-TD-NMR to calculate the systems surface relaxivity according to the fast exchange model of relaxation. This new method is compared to an alternative method that employs sequential drying to calibrate the systems surface relaxivity.

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