Analysis of geoscience data for geothermal exploration along the Teslin fault near Teslin, Yukon

In collaboration with the Yukon Geological Survey, Teslin Tlingit Council, and other project partners, Innovate Geothermal Ltd. performed an analysis of geoscience data in south-central Yukon as part of an effort to better understand the potential for geothermal energy resources that, if present, could be utilized to help reduce fossil fuel use in Yukon communities. The study area for this project is located near the Village of Teslin and straddles the Teslin fault zone. The main aim of this project is to analyze and interpret a variety of pre-existing and newly acquired geologic and geophysical data sets to evaluate whether geothermal reservoirs may be present within the study area. A secondary aim is to propose favourable drilling locations, if warranted, for exploratory wells to collect information on subsurface temperature and permeability. The geoscience work accomplished here includes both 2D map interpretation as well as construction of a 3D geologic model that was guided by geophysical inversion modelling of gravity and magnetic survey data. In the Teslin study area, the distribution of temperature in the subsurface remains a significant unknown; however, limited evidence suggests subsurface temperatures are modestly above average. Specifically, regional-scale, Curie point depth estimates suggest the geothermal gradient in the area is ~45 °C/km. Drilling is required to measure actual subsurface temperature gradients in the vicinity of Teslin. Furthermore, subsurface permeability does appear possible in the study area. Analysis of the geoscience data shows evidence for a complex structural environment that appears favourable for subsurface fracture permeability in the Teslin fault zone area. In addition, geologic mapping and geophysical modelling suggests that large portions of the Teslin study area are underlain by quartzite and volcanic bedrock. Both rock types have a favourable potential for maintaining open fractures. Many unknowns regarding the temperature and permeability of the subsurface still exist in the Teslin study area. The location of a 500 m deep scientific research well is proposed to help answer many of the remaining questions.

Datasets available for download

Additional Info

Field Value
Last Updated October 20, 2025, 02:23 (UTC)
Created October 20, 2025, 02:23 (UTC)
Domain / Topic
Domain or topic of the dataset being cataloged.
Title
Title for the Dataset.
Analysis of geoscience data for geothermal exploration along the Teslin fault near Teslin, Yukon
Description
A description of the dataset.

In collaboration with the Yukon Geological Survey, Teslin Tlingit Council, and other project partners, Innovate Geothermal Ltd. performed an analysis of geoscience data in south-central Yukon as part of an effort to better understand the potential for geothermal energy resources that, if present, could be utilized to help reduce fossil fuel use in Yukon communities. The study area for this project is located near the Village of Teslin and straddles the Teslin fault zone. The main aim of this project is to analyze and interpret a variety of pre-existing and newly acquired geologic and geophysical data sets to evaluate whether geothermal reservoirs may be present within the study area. A secondary aim is to propose favourable drilling locations, if warranted, for exploratory wells to collect information on subsurface temperature and permeability. The geoscience work accomplished here includes both 2D map interpretation as well as construction of a 3D geologic model that was guided by geophysical inversion modelling of gravity and magnetic survey data. In the Teslin study area, the distribution of temperature in the subsurface remains a significant unknown; however, limited evidence suggests subsurface temperatures are modestly above average. Specifically, regional-scale, Curie point depth estimates suggest the geothermal gradient in the area is ~45 °C/km. Drilling is required to measure actual subsurface temperature gradients in the vicinity of Teslin. Furthermore, subsurface permeability does appear possible in the study area. Analysis of the geoscience data shows evidence for a complex structural environment that appears favourable for subsurface fracture permeability in the Teslin fault zone area. In addition, geologic mapping and geophysical modelling suggests that large portions of the Teslin study area are underlain by quartzite and volcanic bedrock. Both rock types have a favourable potential for maintaining open fractures. Many unknowns regarding the temperature and permeability of the subsurface still exist in the Teslin study area. The location of a 500 m deep scientific research well is proposed to help answer many of the remaining questions.

Tags / Keywords
Keywords/tags categorizing the dataset.
Format (CSV, XLS, TXT, PDF, etc)
File format of the dataset.
Dataset Size
Dataset size in megabytes.
Metadata Identifier
Metadata identifier – can be used as the unique identifier for catalogue entry
Published Date
Published date of the dataset.
2023-09-07
Time Period Data Span (start date)
Start date of the data in the dataset.
Time Period Data Span (end date)
End date of time data in the dataset.
GeoSpatial Area Data Span
A spatial region or named place the dataset covers.
Field Value
Access category
Type of access granted for the dataset (open, closed, service, etc).
License
License used to access the dataset.
Open Government Licence - Yukon
Limits on use
Limits on use of data.
Location
Location of the dataset.
https://open.canada.ca/data/en/dataset/21dbdab9-7858-434d-8967-20a50752847f
Data Service
Data service for accessing a dataset.
Owner
Owner of the dataset.
Government of Yukon | Gouvernement du Yukon
Contact Point
Who to contact regarding access?
Yukon Geological Survey
Contact Point Email
The email to contact regarding access?
Publisher
Publisher of the dataset.
Publisher Email
Email of the publisher.
[email protected]
Author
Author of the dataset.
Author Email
Email of the author.
Accessed At
Date the data and metadata was accessed.
Field Value
Identifier
Unique identifier for the dataset.
Language
Language(s) of the dataset
Link to dataset description
A URL to an external document describing the dataset.
Persistent Identifier
Data is identified by a persistent identifier.
Globally Unique Identifier
Data is identified by a persistent and globally unique identifier.
Contains data about individuals
Does the data hold data about individuals?
Contains data about identifiable individuals
Does the data hold identifiable data about individual?
Contains Indigenous Data
Does the data hold data about Indigenous communities?
Portal Type
Platform type of the source portal.
Field Value
Version
Version of the datatset
None
Source
Source of the dataset.
None
Version notes
Version notes about the dataset.
Is version of another dataset
Link to dataset that it is a version of.
Other versions
Link to datasets that are versions of it.
Provenance Text
Provenance Text of the data.
Provenance URL
Provenance URL of the data.
Temporal resolution
Describes how granular the date/time data in the dataset is.
GeoSpatial resolution in meters
Describes how granular (in meters) geospatial data is in the dataset.
GeoSpatial resolution (in regions)
Describes how granular (in regions) geospatial data is in the dataset.
Field Value
Indigenous Community Permission
Who holds the Indigenous Community Permission. Who to contact regarding access to a dataset that has data about Indigenous communities.
Community Permission
Community permission (who gave permission).
The Indigenous communities the dataset is about
Indigenous communities from which data is derived.
Field Value
Number of data rows
If tabular dataset, total number of rows.
Number of data columns
If tabular dataset, total number of unique columns.
Number of data cells
If tabular dataset, total number of cells with data.
Number of data relations
If RDF dataset, total number of triples.
Number of entities
If RDF dataset, total number of entities.
Number of data properties
If RDF dataset, total number of unique properties used by the triples.
Data quality
Describes the quality of the data in the dataset.
Metric for data quality
A metric used to measure the quality of the data, such as missing values or invalid formats.

0 Comments

Please login or register to comment.