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  5. Microstructural analysis of organic matter in shale by SAXS and WAXS methods

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Article
en
2022

Microstructural analysis of organic matter in shale by SAXS and WAXS methods

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en
2022
Vol 19 (3)
Vol. 19
DOI: 10.1016/j.petsci.2022.01.012

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Ho Won Jang
Ho Won Jang

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Kouqi Liu
Zhijun Jin
Lianbo Zeng
+6 more

Abstract

Characterizing the kerogen-hosted pore structures is essential to understand the adsorption, transport and storage potential in organic-rich shale reservoirs. In this paper, we first separated the organic matter (kerogen) from the mineral matrix in four different shale samples of the Bakken Formation with different thermal maturities and then analyzed their chemical compositions using the wide-angle X-ray scattering (WAXS) method. Next, we acquired small-angle X-ray scattering (SAXS) to characterize the structure of the organic matter and see how these two will relate. The WAXS results showed that the isolated kerogens have high purity (free of inorganic minerals) and retain different chemical compositions. Moreover, SAXS analysis revealed that the isolated kerogens have similar radius of gyration (Rg) which is around 90 Å and the molecules are in the compact mode. Based on the pore size distribution analysis from the SAXS data, two main peaks were found in all of these four samples with one peak less than 40 Å and the other one larger than 1000 Å. Also, the TEM images revealed that Sample 1 is abundant in pores with sizes around 20 nm while Sample 2 does not have pores of that size, which agrees with the results from the pore size distribution that was obtained from the SAXS method. Ultimately, this study exhibits how different analytical instruments can provide us with useful information from complex structures of geomaterials.

How to cite this publication

Kouqi Liu, Zhijun Jin, Lianbo Zeng, Mengdi Sun, Bo Liu, Ho Won Jang, Majid Safaei-Farouji, Mohammadreza Shokouhimer, Mehdi Ostadhassan (2022). Microstructural analysis of organic matter in shale by SAXS and WAXS methods. , 19(3), DOI: https://doi.org/10.1016/j.petsci.2022.01.012.

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Publication Details

Type

Article

Year

2022

Authors

9

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1016/j.petsci.2022.01.012

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