Regional scale 3D modelling of magnetic data to assess carbon mineralization potential of serpentenized ultramafic rocks in the Yukon
Serpentinized ultramafic rocks contain minerals that are highly reactive with CO2. These rocks are becoming increasingly recognized for their potential to act as atmospheric CO2 sinks. Carbon mineralization locks CO2 in carbonate minerals and stores it over geological time scales. This is a naturally occurring process but one that can be accelerated through increasing the available surface area of serpentinized material, or through injection of CO2-enriched fluids into serpentinized rock substrates. The Yukon has significant occurrences of ultramafic rock throughout the territory, covering a mapped areal extent of approximately 2000 km2. This work represents a preliminary attempt to review territorial opportunities for carbon mineralization via ultramafic rocks. Regional scale magnetic data which can help identify serpentinized parts of ultramafic bodies was used to remotely locate prospective ultramafic rocks in the Yukon, and to model targeted bodies in 3D to derive their volumes and estimate their CO2 mineralization capacities. Local volumes of serpentinized rock modelled within the depth interval of 0 to -4000 m range up to 361 km3, and total capacity estimated for all modelled sites in the Yukon from 0 to -4000 m depth is >1600 GtCO2. In order to meet emissions-offset targets required to mitigate climate change, such natural carbon sinks providing potentially large storage capacities must be considered part of the solution. Results of this study, based on regional-scale public datasets, are meant as a guide to direct future investigations with higher resolution mapping, data collection, and modelling, together with necessary consideration to existing land ownership, land use, infrastructure, and access.
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Additional Info
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| Last Updated | October 20, 2025, 02:21 (UTC) |
| Created | October 20, 2025, 02:21 (UTC) |
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Domain / Topic
Domain or topic of the dataset being cataloged.
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Title
Title for the Dataset.
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Regional scale 3D modelling of magnetic data to assess carbon mineralization potential of serpentenized ultramafic rocks in the Yukon |
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Description
A description of the dataset.
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Serpentinized ultramafic rocks contain minerals that are highly reactive with CO2. These rocks are becoming increasingly recognized for their potential to act as atmospheric CO2 sinks. Carbon mineralization locks CO2 in carbonate minerals and stores it over geological time scales. This is a naturally occurring process but one that can be accelerated through increasing the available surface area of serpentinized material, or through injection of CO2-enriched fluids into serpentinized rock substrates. The Yukon has significant occurrences of ultramafic rock throughout the territory, covering a mapped areal extent of approximately 2000 km2. This work represents a preliminary attempt to review territorial opportunities for carbon mineralization via ultramafic rocks. Regional scale magnetic data which can help identify serpentinized parts of ultramafic bodies was used to remotely locate prospective ultramafic rocks in the Yukon, and to model targeted bodies in 3D to derive their volumes and estimate their CO2 mineralization capacities. Local volumes of serpentinized rock modelled within the depth interval of 0 to -4000 m range up to 361 km3, and total capacity estimated for all modelled sites in the Yukon from 0 to -4000 m depth is >1600 GtCO2. In order to meet emissions-offset targets required to mitigate climate change, such natural carbon sinks providing potentially large storage capacities must be considered part of the solution. Results of this study, based on regional-scale public datasets, are meant as a guide to direct future investigations with higher resolution mapping, data collection, and modelling, together with necessary consideration to existing land ownership, land use, infrastructure, and access. |
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Keywords/tags categorizing the dataset.
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Format (CSV, XLS, TXT, PDF, etc)
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Dataset Size
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Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
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Published Date
Published date of the dataset.
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2024-12-03 |
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Time Period Data Span (start date)
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Time Period Data Span (end date)
End date of time data in the dataset.
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GeoSpatial Area Data Span
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Access category
Type of access granted for the dataset (open, closed, service, etc).
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License
License used to access the dataset.
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Open Government Licence - Yukon |
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Limits on use
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Location
Location of the dataset.
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https://open.canada.ca/data/en/dataset/9bb22249-fa36-4bbd-ae3d-9f7287acdb29 |
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Data Service
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Owner
Owner of the dataset.
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Government of Yukon | Gouvernement du Yukon |
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Contact Point
Who to contact regarding access?
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Yukon Geological Survey |
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Contact Point Email
The email to contact regarding access?
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Publisher
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Publisher Email
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[email protected] |
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Author
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Author Email
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Accessed At
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Identifier
Unique identifier for the dataset.
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Language
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Link to dataset description
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Persistent Identifier
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Globally Unique Identifier
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Contains data about individuals
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Contains data about identifiable individuals
Does the data hold identifiable data about individual?
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Contains Indigenous Data
Does the data hold data about Indigenous communities?
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Portal Type
Platform type of the source portal.
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Version
Version of the datatset
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None |
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Source
Source of the dataset.
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None |
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Version notes
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Is version of another dataset
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Other versions
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Provenance Text
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Provenance URL
Provenance URL of the data.
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Temporal resolution
Describes how granular the date/time data in the dataset is.
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GeoSpatial resolution in meters
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GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
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Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
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Community Permission
Community permission (who gave permission).
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The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
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Number of data rows
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Number of data columns
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Number of data cells
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Number of data relations
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Number of entities
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Number of data properties
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Data quality
Describes the quality of the data in the dataset.
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Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.
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