2019
DOI: 10.1016/j.fuel.2019.01.174
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A comprehensive pore structure study of the Bakken Shale with SANS, N2 adsorption and mercury intrusion

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Cited by 119 publications
(67 citation statements)
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“…Relative scattering intensity was converted to absolute scattering intensity by correcting the raw measured data for the contributions of the empty cell, background, sample thickness, and transmission. All the fractal behaviors and Porod models were fitted using SASfit software (Paul Scherrer Institute, Villigen, Switzerlan) [28,29,30].…”
Section: Methodsmentioning
confidence: 99%
“…Relative scattering intensity was converted to absolute scattering intensity by correcting the raw measured data for the contributions of the empty cell, background, sample thickness, and transmission. All the fractal behaviors and Porod models were fitted using SASfit software (Paul Scherrer Institute, Villigen, Switzerlan) [28,29,30].…”
Section: Methodsmentioning
confidence: 99%
“…15 Nitrogen adsorption nowadays has become a standard technique for pore structure analysis in shale characterization. [16][17][18][19][20][21] In addition to its applicability for pore size distribution, pore surface area and pore volume determination, researchers have combined fractal dimension analysis with adsorption isotherms to obtain more information from the pores. [22][23][24][25][26] Based on the literature, nearly all the authors utilized the FHH model solely to characterize fractal dimensions of shale rocks without any strong basis.…”
Section: Introductionmentioning
confidence: 99%
“…Pores in shale are divided into micropores (with diameter < 2 nm), mesopores (with diameter of 2-50 nm), and macropores (with diameter > 50 nm) [11]. Among the techniques for quantitative analysis of shale pore systems [4,[12][13][14], low-pressure gas adsorption (LPGA) is important in the measurement of pore properties over a wide range of pore sizes. Low-pressure N 2 adsorption is frequently used to analyze mesopore characteristics in shale reservoirs [15].…”
Section: Introductionmentioning
confidence: 99%
“…Partial least square regression (PLSR) is a multivariate analytical method that can process the correlated independent variables. PLSR has been used to analyze correlations between pore properties and geological factors, based on seven shale samples [12,27,28]. But the residual oil in samples was not extracted before testing pore properties [12,27,28].…”
Section: Introductionmentioning
confidence: 99%
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