Big data and large volume (BDLV)-based nanoindentation characterization of shales

Abstract

This paper presents a novel nanoindentation technique that obtains massive data on the basis of large volume to extract the mechanical properties of both the individual mineral phases of shales and its bulk rock. Massive data collected on a given surface but extended to a depth of 8–10 μm with the statistical or grid indentation method were processed to extract the mechanical properties of individual mineral phases as well as the dependence of the mechanical behavior upon indentation depth. Large volume-based indentation was then applied at varying depths by the sacrificial removal of the previously indented surface layer. This method is now being implemented as a screening and optimization protocol for various chemical stimulants and additives used in hydraulic fracturing and oil/gas production operations.