CG Africa Updated 2026-08-20

Congo Geothermal Screening

Geothermal screening assessment identifies 2.5% prospective land reaching 185°C by 5.5 km depth in Congo.

Key Geothermal Metrics

Land Reaching 185°C by 5.5 km Low Prospect
2.5%

Primary baseline screening criterion

Shallowest Depth to 200°C Deep Target
6.1 km

Minimum drill depth for high enthalpy

Peak Temperature at 5 km Depth Direct Heat
156.7 °C

Maximum modeled temperature

Typical Geothermal Gradient Continental Normal
27.6 °C/km

Average to 5 km depth (15°C surface)

Grid Connectable Prospective Area Moderate Distance
55.1%

Hot territory within 50 km transmission

Stored Heat In-Place (3–7 km) 1 ZJ = 10²¹ Joules
46.5 ZJ

Thermal volume in place (>80°C baseline)

Depth vs. Temperature Matrix (% Land Area)

Proportion of national territory exceeding target isotherm at specified depth

0.1° Inversion Grid
Isotherm 3.0 km 4.0 km 5.0 km 6.0 km 7.0 km 8.0 km
150°C 0.2% 0.5% 0.8% 1.2% 1.5% 1.7%
175°C 0.1% 0.3% 0.4% 0.7% 0.9% 1%
200°C 0.1% 0.1% 0.1% 0.2% 0.2%
225°C
250°C

4-Stage Geothermal Resource & Infrastructure Funnel

Progressive screening from gross national territory down to grid-connected & populated prospective zones

1 Whole country
342 000 km² 100%
2 Reaches 185°C by 5.5 km
8 550 km² 2.5%
3 ...and within 50 km transmission
4 711 km² 1.4%
4 ...and within 100 km town
3 934 km² 1.3%

Geological Setting & Subsurface Parameters

Lithology, basement thickness, stress and thermal boundary constraints

Median Depth to 200°C Isotherm 8.7 km
Best 10th Percentile Depth to 200°C 7.1 km
Median Temperature at 5 km Depth 107.7 °C
Best 10th Percentile Temp at 5 km 141.8 °C
Median Sediment Thickness 0.4 km
Sediment / Hard-Rock Well Share 41.8%
Territory Under 1 km Sediment Cover 73.3%
Lithostatic Pressure at 5 km Depth 132.8 MPa
Moho Crustal Discontinuity Depth 41.5 km
Thermal Lithosphere Thickness 122.1 km
Curie Temperature Isotherm Depth 40.8 km
Model Temperature Spread Uncertainty (200°C) ±1.5 km

Transmission Grid & Demand Colocation

Infrastructure interconnectivity and urban power demand proximity

High-Voltage Transmission Network Length 21 244 km
Land Area Within 25 km of Grid 44.2%
Land Area Within 50 km of Grid 55.1%
Land Area Within 100 km of Grid 58.8%
Average Proximity to Nearest Substation / Line 27.8 km
Urban Centers (>10,000 Population) 214
Total Urban Population 21.4 M
Prospective Resource Colocated Near Demand (>1M Pop) 22.8%

Target Sensitivity & Deep EGS Upside

Sensitivity of prospective resource area to adjusted depth and temperature thresholds

150°C Baseline at 5.5 km 4% of national territory reaches 150°C at 5.5 km depth
185°C Baseline at 7.5 km 4.5% of national territory reaches 185°C at 7.5 km depth

Global Peer Benchmarking (vs. 278 Assessed Jurisdictions)

Relative ranking distribution of Congo across 11 standardized geothermal indicators

Congo Rank Global Peer Spread
Shallowest 200°C depth
6.1 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 27th percentile
Peak temp at 5 km
156.7 °C Lower 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 23th percentile
Prospective land area (>185°C at 5.5 km)
2.5% Lower 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 5th percentile
Stored heat in-place (3-7 km)
46.5 ZJ Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 52th percentile
Typical geothermal gradient
27.6 °C/km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 39th percentile
Grid proximity (<50 km)
55.1% Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 55th percentile
Thin sediment coverage (<1 km)
73.3% Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 73th percentile
Curie isotherm depth
40.8 km Lower 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 10th percentile
Moho crustal thickness
41.5 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 25th percentile
Model temperature uncertainty spread
±1.3 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 73th percentile
Urban demand colocation
76.4% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 64th percentile
Asset-Level 3D Simulation Available

Need Interactive 3D Spatial Inversion for Congo?

High-resolution 3D temperature cubes, localized Curie depth inversions, fault network stress tensors, and drilling capex curves for Congo are accessible through our Premium & Enterprise subscription tiers.

Direct Founder Contact: founders@geothermalradar.com

Analytical Geothermal Assessment & Discussion: Congo

Subsurface thermal interpretation, model uncertainty, infrastructure colocation, and resource quality analysis

Resource Overview

Geothermal assessment for Congo indicates craton_shield geological controls governing subsurface heat transport, yielding 2.5% of land area reaching the baseline target of 185°C at 5.5 km depth.

Uncertainty & Model Variance

Thermal inversion across Congo shows consistent model convergence with constrained standard deviations across deep crustal layers.

Grid & Infrastructure Colocation

National electrical transmission coverage positions approximately 55.1% of prospective geothermal ground within 50 km of existing high-voltage corridors.

Geological & Basement Setting

Subsurface lithology is characterized by craton shield dynamics with median sediment thickness of 0.4 km and crustal thickness of 41.5 km.

Stored Heat Volume

Accessible thermal energy in place between 3 km and 7 km depth above 80°C totals 46.5 Zettajoules (ZJ).

Peer Comparison

Benchmarked against 237 global assessment jurisdictions, Congo demonstrates competitive positioning across heat flow, infrastructure, and basement competence indicators.

Target Sensitivity Analysis

Screening at 150°C baseline at 5.5 km increases prospective territory, demonstrating substantial deep EGS resource headroom.

Screening Methodology, Parameters & Limitations

This screening assessment for Congo is generated from Geothermal Radar Data Pack 2026.1 utilizing global 0.1° hex-grid thermal inversion across 3 800 model cells (land area: 342 000 km²). Baseline prospective criterion is defined as reaching 185°C at or above 5.5 km depth with surface temperature normalized to 15°C.

  • Screening estimates represent regional-scale heat in place and do not replace localized 3D seismic or exploratory drilling.
  • Model uncertainties expand in regions with sparse deep boreholes and complex thrust fault kinematics.
  • Grid proximity indicators reflect line-of-sight distance to high-voltage transmission and do not account for local substation thermal capacity.
Need Detailed Asset-Level Due Diligence?

Access 3D temperature grids, drilling cost curves, and micro-siting GIS layers.

Request Full Technical Dossier