Characterization of meso-scale mechanical properties of Longmaxi shale using grid microindentation experiments

Document Type

Article

Publication Date

6-1-2021

Abstract

Mechanical properties, such as the hardness H, Young's modulus E, creep modulus C, and fracture toughness Kc, are essential parameters in the design of hydraulic fracturing systems for prospective shale gas formations. In this study, a practical methodology is presented for obtaining these properties through microindentation experiments combined with quantitative observations of the mineralogical phases using X-ray diffraction (XRD), scanning electron microscopy (SEM) with backscattered electron (BSE) imaging, and energy-dispersive X-ray spectroscopy (EDS) analyses. We apply this method in the case of three types of Longmaxi shales with different mineralogies (i.e. carbonate-, clay-, and quartz-rich, respectively), which allows us to determine the characteristic indentation depth, hc = 8–10 μm, beyond which the mechanical response of the carbonate-rich shale is homogeneous and independent of its complex heterogeneous microstructure. Moreover, exploiting the results of a large number of indentation tests, we demonstrate that the indentation modulus M of the shale increases as a power-law of hardness H, and its creep modulus C increases linearly with H. We also compute the fracture toughness Kc from the indentation data by assuming a perfectly plastic behavior of the sample. Our results are in good agreement with independent measurements of Kc determined by microscratch tests. Finally, further tests on quartz- and clay-rich samples of the Longmaxi shale suggest further variations in the samples’ mechanical properties depending on their burial conditions and the mechanical properties of their dominant mineral phases.

Identifier

85100729735 (Scopus)

Publication Title

Journal of Rock Mechanics and Geotechnical Engineering

External Full Text Location

https://doi.org/10.1016/j.jrmge.2020.09.009

ISSN

16747755

First Page

555

Last Page

567

Issue

3

Volume

13

Grant

51661165015

Fund Ref

Massachusetts Institute of Technology

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