Quantifying the heterogeneity of shale through statistical combination of imaging across scales

Semnani, Shabnam J.; Borja, Ronaldo I.

doi:10.1007/s11440-017-0576-7

Title: Quantifying the heterogeneity of shale through statistical combination of imaging across scales

Journal Article · 22 August 2017 · Acta Geotechnica

DOI: https://doi.org/10.1007/s11440-017-0576-7 · OSTI ID:1597173

Semnani, Shabnam J. ^[1]; Borja, Ronaldo I. ^[1]

Stanford Univ., CA (United States)

Shale is a highly heterogeneous material across multiple scales. A typical shale consists of nanometer-scale pores and minerals mixed with macro-scale fractures and particles of varying size. High-resolution imaging is crucial for characterizing the composition and microstructure of this rock. Yet, it is generally not feasible to image a large sample of shale at a high resolution over a large field of view (FOV), thus limiting a full characterization of the microstructure of this material. We present a stochastic framework based on multiple-point statistics that uses high-resolution training images to enhance low-resolution images obtained over a large FOV. Here, we demonstrate the approach using X-ray micro-tomography images of organic-rich Woodford shale obtained at two different resolutions and FOV. Results show that the proposed technique can generate realistic high-resolution images of the microstructure of shale over a large FOV.

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Research Organization:: Stanford Univ., CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences, and Biosciences Division; National Science Foundation (NSF)

Grant/Contract Number:: FG02-03ER15454; CMMI-1462231; ECCS-1542152

OSTI ID:: 1597173

Journal Information:: Acta Geotechnica, Vol. 12, Issue 6; ISSN 1861-1125

Publisher:: SpringerCopyright Statement

Country of Publication:: United States

Language:: English

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