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Geothermal Faults

This dataset maps the critical structural and tectonic features across Africa that serve as key indicators for geothermal resource potential. These layers delineate "fault/fracture zones" which are considered a primary geothermal resource play type for both magmatic and non-magmatic settings.

The layers in the dataset are:

  • Active faults (BGS) – derived from the Trans-African Regional Geo-data for the Energy Transition (TARGET) model of the British Geological Survey;
  • Active Faults GEM) – compilled as part of the GEM's global Probablistic Seismic Hazard modeling efforts;
  • Major faults – derived from the Trans-African Regional Geo-data for the Energy Transition (TARGET) model of the British Geological Survey;
  • Major faults - East-African Rift System - showing the location of major faults in the East-African Rift System, derived from Chrowicz (2005), part of the East African Rift Temperature and Heat flow model (EARTH).

These fault layers are crucial for characterizing subsurface hydraulic properties. Specifically, the dataset's features are utilized to:

  • Determine Permeability and Transmissivity: Active fault zones are modeled to have high fault/fracture permeability, accounting for a hydraulic transmissivity of 20 Darcy-meters up to a depth of 3 km.
  • Define Reservoir Thickness: For performance calculations, the corresponding "aquifer" permeability within these active fault zones is set to 10,000 mDarcy with an assumed thickness of 20 meters.
  • Model Geothermal Production: These structural features are integrated into the "resource fast model" as thin reservoirs for geothermal doublet systems (systems with at least one production and one injection well) situated in fractured basement or sedimentary rock.
  • Support Spatial Analysis: The locations of these active faults are rasterized and combined with 3D temperature grids (where magmatic areas and active volcanoes exhibit elevated heat production) to calculate local geothermal energy conversion scenarios across the continent.
These layers are part of the Geothermal Atlas for Africa developed within the LEAP-RE project"
Values differ across layers

Jones, D.J.R. (2022). Trans-African Regional Geo-data for the Energy Transition (TARGET) model. NERC EDS National Geoscience Data Centre. (Dataset). https://doi.org/10.5285/e9ca452b-5cca-4953-b5a4-397c4d622ea5

Styron, R., & Pagani, M. (2020). The GEM global active faults database. Earthquake Spectra, 36(1_suppl), 160–180. https://doi.org/10.1177/8755293020944182

Jones, D.J.R. (2020): East African Rift Temperature and Heat flow model (EARTH). British Geological Survey. (Model). https://dx.doi.org/10.5285/e1bc2841-81c2-4b6e-ae5b-301f3bf82b68
Chorowicz, J. (2005). The East African rift system. Journal of African Earth Sciences, 43(1–3), 379–410. https://doi.org/10.1016/j.jafrearsci.2005.07.019

/geoserver/wms?
Values differ across layers
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LEAP-RE
Values differ across layers
British Geological Survey <enquiries@bgs.ac.uk>
Richard Styron <richard.styron@globalquakemodel.org>

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