TY - JOUR
T1 - Visualizing organic matter content in organic-rich shales through Terahertz imaging
AU - Sanjuan, Federico
AU - Sénéchal, Pascale
AU - Valido, Iris H.
AU - Subirana, Maria Angels
AU - Aubourg, Charles
AU - Fasentieux, Bertrand
AU - Baudin, François
AU - Bernier, Maxime
N1 - Publisher Copyright:
© 2024 Elsevier Ltd
PY - 2024/10/15
Y1 - 2024/10/15
N2 - Fine-scale visualization and quantification of the distribution of organic matter within shaly petroleum source rocks like oil shales, offers valuable insights into their suitability for energy applications, such as unconventional energy sources. Although methods exist for imaging organic matter content in organic-rich shales, such as X-ray microtomography and acoustic wave imaging, there is currently no non-ionizing, contactless, non-destructive method capable of imaging samples of several square centimetres and sensitive to nano-micrometre organic matter content. This possibility would provide new and complementary information to obtain a better characterization of the reservoir. Thus, to address this gap, we propose a novel method that uses measurements of electromagnetic waves within the Terahertz (THz) band, acquired through a Terahertz time-domain spectrometer operating in transmission mode. It uses information about the dielectric permittivity anisotropy of the material to estimate, for the first time, the average total organic carbon (TOC) per pixel across the thickness of the rock. We therefore present, first THz TOC images of organic-rich shale samples, specifically from the Vaca Muerta Formation (Neuquen Basin, Argentina). The images show a TOC pixel variation ranging from 3 to 6% with a relative pixel error of less than 6%, i.e. for a TOC value of 4%, the absolute error would be ±0.24%. The method have been validated with combined results obtained by Rock-Eval®analysis, Raman and infrared spectroscopy and X-ray microtomography. The reliability of this approach lies primarily in the consideration that the main source of dielectric permittivity anisotropy must be caused by the varying organic matter content of the different rock strata.
AB - Fine-scale visualization and quantification of the distribution of organic matter within shaly petroleum source rocks like oil shales, offers valuable insights into their suitability for energy applications, such as unconventional energy sources. Although methods exist for imaging organic matter content in organic-rich shales, such as X-ray microtomography and acoustic wave imaging, there is currently no non-ionizing, contactless, non-destructive method capable of imaging samples of several square centimetres and sensitive to nano-micrometre organic matter content. This possibility would provide new and complementary information to obtain a better characterization of the reservoir. Thus, to address this gap, we propose a novel method that uses measurements of electromagnetic waves within the Terahertz (THz) band, acquired through a Terahertz time-domain spectrometer operating in transmission mode. It uses information about the dielectric permittivity anisotropy of the material to estimate, for the first time, the average total organic carbon (TOC) per pixel across the thickness of the rock. We therefore present, first THz TOC images of organic-rich shale samples, specifically from the Vaca Muerta Formation (Neuquen Basin, Argentina). The images show a TOC pixel variation ranging from 3 to 6% with a relative pixel error of less than 6%, i.e. for a TOC value of 4%, the absolute error would be ±0.24%. The method have been validated with combined results obtained by Rock-Eval®analysis, Raman and infrared spectroscopy and X-ray microtomography. The reliability of this approach lies primarily in the consideration that the main source of dielectric permittivity anisotropy must be caused by the varying organic matter content of the different rock strata.
KW - Oil shale
KW - Organic-rich shale
KW - Terahertz imaging
KW - TOC imaging
UR - https://www.scopus.com/pages/publications/85198522903
UR - https://www.mendeley.com/catalogue/ff1c0e6a-29a7-3029-95de-0f9d49162f45/
U2 - 10.1016/j.fuel.2024.132430
DO - 10.1016/j.fuel.2024.132430
M3 - Article
AN - SCOPUS:85198522903
SN - 0016-2361
VL - 374
JO - Fuel
JF - Fuel
M1 - 132430
ER -