Pore structure characterization and classification using multifractal theory—An application in Santanghu basin of western China

Ge, Xin; Fan, Yiren; Li, Jiangtao; Zahid, Muhammad Aleem

doi:10.1016/j.petrol.2015.01.004

Cited by 145 publications

(53 citation statements)

References 45 publications

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“…A variety of scanning strategies has been used in Box-counting algorithms. Computer based Box-counting algorithms which usually are compiled through C / C ++, Matlab language, have been applied to patterns in 1-, 2-, and 3-D spaces (Xie et al, 2010;Ge et al, 2015). The object or digital image is usually cropped to a size of 2 N to obtain the continuously bisected dataset.…”

Section: Methods For Measuring the Fractal Dimensionmentioning

confidence: 99%

Geometrical, fractal and hydraulic properties of fractured reservoirs: A mini-review

Wei

Xia

2017

Adv. Geo-Energ. Res.

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Fractures and fracture networks play an important role in fluid flow and transport properties of oil and gas reservoirs. Accurate estimation of geometrical characteristics of fracture networks and their hydraulic properties are two key research directions in the fields of fluids flow in fractured porous media. Recent works focusing on the geometrical, fractal and hydraulic properties of fractured reservoirs are reviewed and summarized in this mini-review. The effects of several important parameters that significantly influences hydraulic properties are specifically discussed and analyzed, including fracture length distribution, aperture distribution, boundary stress and anisotropy. The methods for predicting fractal dimension of fractures and models for fracture networks and fractured porous media based on fractal-based approaches are addressed. Some comments and suggestions are also given on the future research directions and fractal fracture networks as well as fractured porous media.

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Section: Methods For Measuring the Fractal Dimensionmentioning

confidence: 99%

Geometrical, fractal and hydraulic properties of fractured reservoirs: A mini-review

Wei

Xia

2017

Adv. Geo-Energ. Res.

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“…X-ray CT can achieve wider field of view and very high resolution in 3D space (Ge et al, 2015). Despite the lower resolution in comparison with µxCT and SEM images, the thin section images have other advantages such as a wider range of view, saved time and cheaper availability for petrophysical studies, such as pore microstructure (Desbois et al, 2011;Rabbani et al, 2014a;Borazjani et al, 2016;Gundogar et al, 2016;Rabbani et al, 2016;Xiao et al, 2016), mineral recognition and classification (Hofmann et al, 2013;Asmussen et al, 2015;Izadi et al, 2015;Izadi et al, 2017b), specific surface area (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b), elastic modulus (Arns et al, 2002;Dvorkin et al, 2011;Madonna et al, 2012;Saxena and Mavko, 2016), rock type determination (Mynarczuk, 2010;Mynarczuk et al, 2013;Ge et al, 2015;Mollajan et al, 2016), pore-grain analysis (Rabbani and Jamshidi, 2014;Rabbani et al, 2014b;Song et al, 2016), flowing property (Peng et al, 2016;Wang et al, 2016b). Using thin section images, the interconnected pore structure can be marked out visually as they are filled by color epoxy resin.…”

Section: Petrophysical Characterization Based On Thin Section Analysismentioning

confidence: 99%

“…Furthermore, Stratigraphic Modified Lorenz Plot (SMLP) uses HFUs zonations in single well vertically (Ge et al, 2015;Zhao et al, 2017), in which the cumulative flow capacity (Kh) and the cumulative storage capacity (Kφ) are plotted. Inflection points in SMLP plot indicates changes in flow characteristics, hence the segment points of HFUs.…”

Section: Pore Type and Hfusmentioning

confidence: 99%

Applications of digital core analysis and hydraulic flow units in petrophysical characterization

Chen

Zhou

2017

Adv. Geo-Energ. Res.

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Conventional petrophysical characterizations are often based on direct laboratory measurements. Although they provide accurate results, such measurements are time-consuming and limited by instrument and environment. What's more, in the georesource energy industry, availability and cuttings of core plugs are difficult. Because of these reasons, virtual digital core technology is of increasing interest due to its capability of characterizing rock samples without physical cores and experiments. Virtual digital core technology, also known as digital rock physics, is used to discover, understand and model relationships between material, fluid composition, rock microstructure and macro equivalent physical properties. Based on actual geological conditions, modern mathematical methods and imaging technology, the digital model of the core or porous media is created to carry out physical field numerical simulation. In this review, the methods for constructing digital porous media are introduced first, then the characterization of thin rock cross section and the capillary pressure curve using scanning electron microscope image under mixed wetting are presented. Finally, we summarize the hydraulic flow unit methods in petrophysical classification.Keywords: Digital core, porous media, petrophysical characterization, thin section, mercury injection capillary pressure.Citation: Chen, X., Zhou, Y. Applications of digital core analysis and hydraulic flow units in petrophysical characterization. Adv.

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“…39,46,47 Former researchers show that there is a close relationship between the PSD of rocks and multifractal parameters. [47][48][49][50][51][52][53][54] In addition, some scholars have found that multifractal parameters (such as D min− D max and D min /D max , △α) are closely related to the T 2 cutoff value in coal and sandstone reservoirs, 47,50,52,54 The corresponding prediction models of T 2 cutoff value have been proposed based on the multifractal parameters. However, there are only multifractal parameters in the prediction model.…”

Section: Introductionmentioning

confidence: 99%

A method to determine nuclear magnetic resonanceT₂cutoff value of tight sandstone reservoir based on multifractal analysis

Guo

Zhang

et al. 2019

Energy Science & Engineering

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Nuclear magnetic resonance (NMR) T2 cutoff value is an important parameter for pore structure evaluation. It is complicated and uneconomical to obtain T2 cutoff value by an experimental method; therefore, it is necessary to explore a prediction method of T2 cutoff value. In this paper, 10 samples of tight gas reservoirs in the eastern Ordos Basin were selected, and then saturation and centrifugal experiments of nuclear magnetic resonance were carried out. On this basis, multifractal theory was introduced to calculate the multifractal characteristics of the NMR T2 spectrum of each sample, and the relationship between multifractal parameters and T2 value was analyzed. The influencing factors of the T2 cutoff value were clarified, and the prediction model of the T2 cutoff value was constructed accordingly. The results show that the T2 spectra of sandstones in the study area can be divided into three types: single steeple peak, double steeple peak, and irregular double peak. The pore diameter of the three types is 1 nm ~ 3×104 nm, 1 nm ~ 104 nm and 1 nm ~ 4×103 nm, respectively. The T2 cutoff value ranges from 9.72 to 35.16 ms. The correlation analysis suggests that the symmetrical fractal dimension difference and symmetrical multifractal dimension ratio (Dmin−Dmax, Dmin/Dmax) shows a positive linear correlation with the T2 cutoff value. The value of T2 cutoff gradually decreases with the increase of the flow zone indicator (FZI). Therefore, three parameters, including symmetrical fractal dimension difference, symmetrical multifractal number ratio, and FZI are optimized, and the prediction model for the NMR T2 cutoff value of sandstone samples in the study area is proposed. The introduction of porosity‐related parameters compensates for the shortcomings of previous T2 cutoff value prediction models. At the same time, the prediction model is proven to be accurate and reliable by testing the measured data of the samples near the study area. The results of this paper can be used for further study of the NMR T2 cutoff value prediction of tight sandstone reservoirs in different areas.

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Pore structure characterization and classification using multifractal theory—An application in Santanghu basin of western China

Cited by 145 publications

References 45 publications

Geometrical, fractal and hydraulic properties of fractured reservoirs: A mini-review

Geometrical, fractal and hydraulic properties of fractured reservoirs: A mini-review

Applications of digital core analysis and hydraulic flow units in petrophysical characterization

A method to determine nuclear magnetic resonanceT₂cutoff value of tight sandstone reservoir based on multifractal analysis

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Pore structure characterization and classification using multifractal theory—An application in Santanghu basin of western China

Cited by 145 publications

References 45 publications

Geometrical, fractal and hydraulic properties of fractured reservoirs: A mini-review

Geometrical, fractal and hydraulic properties of fractured reservoirs: A mini-review

Applications of digital core analysis and hydraulic flow units in petrophysical characterization

A method to determine nuclear magnetic resonanceT2cutoff value of tight sandstone reservoir based on multifractal analysis

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A method to determine nuclear magnetic resonanceT₂cutoff value of tight sandstone reservoir based on multifractal analysis