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FTIR Hyperspectral Imagery: A New Method for Identifying Aragonite, Calcite, and Dolomite in Carbonate Rocks and Assessing their Formational History on the Micron Scale

Tappert, Michelle and Corlett, Hilary and Tappert, Ralf and Rivard, Benoit and Feng, Jilu and Rogge, Derek and Stalder, Roland (2015) FTIR Hyperspectral Imagery: A New Method for Identifying Aragonite, Calcite, and Dolomite in Carbonate Rocks and Assessing their Formational History on the Micron Scale. Geoscience, New Horizons, 4-8 May, Calgary, Canada.

Full text not available from this repository.

Abstract

Hyperspectral imaging combines digital imaging with reflectance spectroscopy, and allows for the in-situ identification of minerals in rock samples in a non-destructive manner. The project presented here focuses on the collection and analysis of hyperspectral images from carbonate rocks for the purpose of developing a technique to identify aragonite, calcite, and dolomite on the micron scale. The information gathered using this technique will serve to better understand the microscopic alterations taking place in minerals throughout diagenesis, and the results are intended to help interpret the paragenetic history of the carbonate rocks. In summary, this presentation will showcase a new analysis method that will aid in the assessment of the quality of carbonate rocks as oil reservoirs. Long-wave infrared (LWIR) hyperspectral images were collected from polished thick sections using a Micro-FTIR instrument with a Focal Plane Array (FPA) detector, which collects hyperspectral images at a pixel size of 2.7 x 2.7 µm. Each hyperspectral image was processed and analyzed to produce a compositional map that shows the location of each mineral and/or the crystallographic orientation of individual mineral grains. Textural analyses were then performed on the compositional maps to extract grain size and textural information. The samples used in this study originated from the Western Canadian Sedimentary Basin and the Austrian Alps, and this work will serve as a foundation for subsequent studies, which will examine the feasibility of using LWIR hyperspectral imagery as an automated drill core logging tool for carbonate rocks.

Item URL in elib:https://elib.dlr.de/102055/
Document Type:Conference or Workshop Item (Speech)
Title:FTIR Hyperspectral Imagery: A New Method for Identifying Aragonite, Calcite, and Dolomite in Carbonate Rocks and Assessing their Formational History on the Micron Scale
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Tappert, MichelleDepartment of Earth and Atmospheric Sciences, University of Alberta, Edmonton, CanadaUNSPECIFIED
Corlett, HilaryAlberta Geological SurveyUNSPECIFIED
Tappert, RalfTNT Mineral ScienceUNSPECIFIED
Rivard, Benoitbenoit.rivard (at) ualberta.caUNSPECIFIED
Feng, Jilujfeng (at) ualberta.caUNSPECIFIED
Rogge, Derekderek.rogge (at) dlr.deUNSPECIFIED
Stalder, RolandUniversity of InnsbruckUNSPECIFIED
Date:4 May 2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Spectroscopy, Geology
Event Title:Geoscience, New Horizons
Event Location:Calgary, Canada
Event Type:international Conference
Event Dates:4-8 May
Organizer:GeoConvention 2015
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Fernerkundung der Landoberfläche (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Rogge, Derek
Deposited On:13 Jan 2016 12:53
Last Modified:10 May 2016 23:41

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