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Title: Cross-Scale Molecular Analysis of Chemical Heterogeneity in Shale Rocks

Abstract

The organic and mineralogical heterogeneity in shale at micrometer and nanometer spatial scales contributes to the quality of gas reserves, gas flow mechanisms and gas production. Here, we demonstrate two molecular imaging approaches based on infrared spectroscopy to obtain mineral and kerogen information at these mesoscale spatial resolutions in large-sized shale rock samples. The first method is a modified microscopic attenuated total reflectance measurement that utilizes a large germanium hemisphere combined with a focal plane array detector to rapidly capture chemical images of shale rock surfaces spanning hundreds of micrometers with micrometer spatial resolution. The second method, synchrotron infrared nano-spectroscopy, utilizes a metallic atomic force microscope tip to obtain chemical images of micrometer dimensions but with nanometer spatial resolution. This chemically "deconvoluted" imaging at the nano-pore scale is then used to build a machine learning model to generate a molecular distribution map across scales with a spatial span of 1000 times, which enables high-throughput geochemical characterization in greater details across the nano-pore and micro-grain scales and allows us to identify co-localization of mineral phases with chemically distinct organics and even with gas phase sorbents. Finally, this characterization is fundamental to understand mineral and organic compositions affecting the behavior of shales.

Authors:
ORCiD logo [1];  [2];  [1];  [1];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth and Environmental Sciences Area
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Advanced Light Source (ALS)
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1433128
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
Scientific Reports
Additional Journal Information:
Journal Volume: 8; Journal Issue: 1; Journal ID: ISSN 2045-2322
Publisher:
Nature Publishing Group
Country of Publication:
United States
Language:
English
Subject:
04 OIL SHALES AND TAR SANDS

Citation Formats

Hao, Zhao, Bechtel, Hans A., Kneafsey, Timothy, Gilbert, Benjamin, and Nico, Peter S. Cross-Scale Molecular Analysis of Chemical Heterogeneity in Shale Rocks. United States: N. p., 2018. Web. doi:10.1038/s41598-018-20365-6.
Hao, Zhao, Bechtel, Hans A., Kneafsey, Timothy, Gilbert, Benjamin, & Nico, Peter S. Cross-Scale Molecular Analysis of Chemical Heterogeneity in Shale Rocks. United States. doi:10.1038/s41598-018-20365-6.
Hao, Zhao, Bechtel, Hans A., Kneafsey, Timothy, Gilbert, Benjamin, and Nico, Peter S. Wed . "Cross-Scale Molecular Analysis of Chemical Heterogeneity in Shale Rocks". United States. doi:10.1038/s41598-018-20365-6. https://www.osti.gov/servlets/purl/1433128.
@article{osti_1433128,
title = {Cross-Scale Molecular Analysis of Chemical Heterogeneity in Shale Rocks},
author = {Hao, Zhao and Bechtel, Hans A. and Kneafsey, Timothy and Gilbert, Benjamin and Nico, Peter S.},
abstractNote = {The organic and mineralogical heterogeneity in shale at micrometer and nanometer spatial scales contributes to the quality of gas reserves, gas flow mechanisms and gas production. Here, we demonstrate two molecular imaging approaches based on infrared spectroscopy to obtain mineral and kerogen information at these mesoscale spatial resolutions in large-sized shale rock samples. The first method is a modified microscopic attenuated total reflectance measurement that utilizes a large germanium hemisphere combined with a focal plane array detector to rapidly capture chemical images of shale rock surfaces spanning hundreds of micrometers with micrometer spatial resolution. The second method, synchrotron infrared nano-spectroscopy, utilizes a metallic atomic force microscope tip to obtain chemical images of micrometer dimensions but with nanometer spatial resolution. This chemically "deconvoluted" imaging at the nano-pore scale is then used to build a machine learning model to generate a molecular distribution map across scales with a spatial span of 1000 times, which enables high-throughput geochemical characterization in greater details across the nano-pore and micro-grain scales and allows us to identify co-localization of mineral phases with chemically distinct organics and even with gas phase sorbents. Finally, this characterization is fundamental to understand mineral and organic compositions affecting the behavior of shales.},
doi = {10.1038/s41598-018-20365-6},
journal = {Scientific Reports},
number = 1,
volume = 8,
place = {United States},
year = {2018},
month = {2}
}

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