Nuclear magnetic resonance T2 cutoffs of coals: A novel method by multifractal analysis theory

Abstract Nuclear magnetic resonance (NMR) has been widely used in petrophysical characterization of coals. For NMR experimental data analysis, transverse relaxation time (T2) cutoff value is a key parameter to identify the form of movable and irreducible fluids, and to evaluate permeability and full-scale pore size distribution (PSD). Conventionally, the T2 cutoff value is procured by a series of centrifugal experiments, which is much complicated and time consuming, and is also hard to be used in fields such as well logging. Thus, a convenient and practical method is needed for T2 cutoff value prediction. Based on series of centrifugal experiments, this study firstly determined an optimal centrifugal pressure of 1.38 MPa for T2 cutoff value calculation. The results from centrifugal experiments show that the T2 cutoff values of bituminous coals and anthracite coals in the range of 0.62–15.11 ms. Then, the multifractal analysis theory is introduced into the estimation of T2 cutoff values of coals. The results showed that the NMR T2 distribution of 100% water-saturated coal is multifractal, and the multifractal parameters of multifractal dimension (Dq) and singularity strength range (Δα) can be used to evaluate the T2 cutoff value of coals. Finally, a new multifractal-based NMR T2 cutoff calculation model was provided, and the model was verified by centrifugal experimental data of six coal samples. It is concluded that the provided multifractal analysis method is effective, convenient and independent of any other experiments. The model derived from the study of coal, is also applicable for researches of other rock types such as shales and so on.

[1]  Yiren Fan,et al.  Determination of nuclear magnetic resonance T2 cutoff value based on multifractal theory — An application in sandstone with complex pore structure , 2015 .

[2]  Zeyu Zhang,et al.  Fractal dimension of pore-space geometry of an Eocene sandstone formation , 2014 .

[3]  E. V. Vázquez,et al.  Multifractal analysis of Hg pore size distributions in soils with contrasting structural stability , 2010 .

[4]  Antoine Saucier,et al.  Influence of multifractal scaling of pore geometry on permeabilities of sedimentary rocks , 1995 .

[5]  J. Gouyet Physics and Fractal Structures , 1996 .

[6]  F. J. Caniego,et al.  SINGULARITY FEATURES OF PORE-SIZE SOIL DISTRIBUTION: SINGULARITY STRENGTH ANALYSIS AND ENTROPY SPECTRUM , 2001 .

[7]  M. Ostadhassan,et al.  Quantification of the microstructures of Bakken shale reservoirs using multi-fractal and lacunarity analysis , 2017 .

[8]  Jianchao Cai,et al.  a Numerical Study on Fractal Dimensions of Current Streamlines in Two-Dimensional and Three-Dimensional Pore Fractal Models of Porous Media , 2015 .

[9]  Yanhai Chang,et al.  Shale pore size classification: An NMR fluid typing method , 2018, Marine and Petroleum Geology.

[10]  H. Westphal,et al.  NMR Measurements in Carbonate Rocks: Problems and an Approach to a Solution , 2005 .

[11]  Jingqiang Tan,et al.  Fractal characteristics of pores in non-marine shales from the Huainan coalfield, eastern China , 2015 .

[12]  Antonio Saa,et al.  Scaling and Multiscaling of Soil Pore Systems Determined by Image Analysis , 2003 .

[13]  P. Ranjith,et al.  Retained water content after nitrogen driving water on flooding saturated high volatile bituminous coal using low-field nuclear magnetic resonance , 2018, Journal of Natural Gas Science and Engineering.

[14]  Y. Liu,et al.  Characterizations of full-scale pore size distribution, porosity and permeability of coals: A novel methodology by nuclear magnetic resonance and fractal analysis theory , 2018, International Journal of Coal Geology.

[15]  Lei Li,et al.  Multifractal analysis and lacunarity analysis: A promising method for the automated assessment of muskmelon (Cucumis melo L.) epidermis netting , 2012 .

[16]  J. Miranda,et al.  Multifractal Analysis of Pore Size Distributions as Affected by Simulated Rainfall , 2008 .

[17]  Y. Liu,et al.  Fractal Analysis of Shale Pore Structure of Continental Gas Shale Reservoir in the Ordos Basin, NW China , 2016 .

[18]  Apostolos Kantzas,et al.  An Evaluation of the Application of Low Field NMR in the Characterization of Carbonate Reservoirs , 2002 .

[19]  Dameng Liu,et al.  Investigations of CO2-water wettability of coal: NMR relaxation method , 2018 .

[20]  R. Jensen,et al.  Direct determination of the f(α) singularity spectrum , 1989 .

[21]  Deng Shaogui Research on T2 Cutoff-value Determination Method for Shaly Sand Based on Experiments , 2011 .

[22]  Dameng Liu,et al.  Assessing the Water Migration and Permeability of Large Intact Bituminous and Anthracite Coals Using NMR Relaxation Spectrometry , 2015, Transport in Porous Media.

[23]  D. Elsworth,et al.  Experimental evaluation of CO2 enhanced recovery of adsorbed-gas from shale , 2017 .

[24]  Lizhi Xiao,et al.  NMR logging : principles and applications , 1999 .

[25]  Yanbin Yao,et al.  Quantitative characterization of methane adsorption on coal using a low-field NMR relaxation method , 2014 .

[26]  Zhongwei Chen,et al.  Comparison of low-field NMR and microfocus X-ray computed tomography in fractal characterization of pores in artificial cores , 2017 .

[27]  D. Tang,et al.  Petrophysical characterization of coals by low-field nuclear magnetic resonance (NMR) , 2010 .

[28]  Shimin Liu,et al.  Pore variation of three different metamorphic coals by multiple freezing-thawing cycles of liquid CO2 injection for coalbed methane recovery , 2017 .

[29]  A. Timur,et al.  Pulsed Nuclear Magnetic Resonance Studies of Porosity, Movable Fluid, and Permeability of Sandstones , 1969 .

[30]  Suyun Hu,et al.  Fractal Characteristics of Shales Across a Maturation Gradient , 2015 .

[31]  Jianchao Cai,et al.  Laboratory Investigation Into the Formation and Dissociation Process of Gas Hydrate by Low‐Field NMR Technique , 2018 .

[32]  J. Howard Quantitative estimates of porous media wettability from proton NMR measurements. , 1998, Magnetic resonance imaging.

[33]  Daniel J. Gould,et al.  Multifractal and Lacunarity Analysis of Microvascular Morphology and Remodeling , 2011, Microcirculation.

[34]  Jianchao Cai,et al.  Fractal and multifractal analysis of different hydraulic flow units based on micro-CT images , 2017 .

[35]  Wei Li,et al.  Multifractal analysis of Hg pore size distributions of tectonically deformed coals , 2015 .

[36]  Jianchao Cai,et al.  Investigation on the pore structure and multifractal characteristics of tight oil reservoirs using NMR measurements: Permian Lucaogou Formation in Jimusaer Sag, Junggar Basin , 2017 .

[37]  Xinmin Ge,et al.  Pore structure characterization and classification using multifractal theory—An application in Santanghu basin of western China , 2015 .

[38]  A. K. Moss,et al.  An investigation of the effect of wettability on NMR characteristics of sandstone rock and fluid systems , 2003 .