BD Asia Pacific Updated 2026-08-20

Bangladesh Geothermal Screening

Geothermal screening assessment identifies 10.1% prospective land reaching 185°C by 5.5 km depth in Bangladesh.

Key Geothermal Metrics

Land Reaching 185°C by 5.5 km Moderate
10.1%

Primary baseline screening criterion

Shallowest Depth to 200°C Deep Target
5.7 km

Minimum drill depth for high enthalpy

Peak Temperature at 5 km Depth Direct Heat
181.8 °C

Maximum modeled temperature

Typical Geothermal Gradient Elevated
35.8 °C/km

Average to 5 km depth (15°C surface)

Grid Connectable Prospective Area High Accessibility
92.7%

Hot territory within 50 km transmission

Stored Heat In-Place (3–7 km) 1 ZJ = 10²¹ Joules
25.3 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 1.4% 2.8% 5.4% 6.1% 9.9% 11.7%
175°C 1.2% 2.2% 3.7% 4.4% 6.3% 7%
200°C 0.6% 1.1% 2% 2.5% 3.3% 4.4%
225°C 0.1% 0.3% 0.5% 0.6% 0.8% 0.9%
250°C

4-Stage Geothermal Resource & Infrastructure Funnel

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

1 Whole country
147 570 km² 100%
2 Reaches 185°C by 5.5 km
14 905 km² 10.1%
3 ...and within 50 km transmission
13 817 km² 9.4%
4 ...and within 100 km town
12 416 km² 8.3%

Geological Setting & Subsurface Parameters

Lithology, basement thickness, stress and thermal boundary constraints

Median Depth to 200°C Isotherm 7.7 km
Best 10th Percentile Depth to 200°C 6.2 km
Median Temperature at 5 km Depth 126 °C
Best 10th Percentile Temp at 5 km 164.5 °C
Median Sediment Thickness 2.7 km
Sediment / Hard-Rock Well Share 25.5%
Territory Under 1 km Sediment Cover 35.5%
Lithostatic Pressure at 5 km Depth 141.9 MPa
Moho Crustal Discontinuity Depth 35.8 km
Thermal Lithosphere Thickness 97.5 km
Curie Temperature Isotherm Depth 29.9 km
Model Temperature Spread Uncertainty (200°C) ±0.7 km

Transmission Grid & Demand Colocation

Infrastructure interconnectivity and urban power demand proximity

High-Voltage Transmission Network Length 14 394 km
Land Area Within 25 km of Grid 70.9%
Land Area Within 50 km of Grid 92.7%
Land Area Within 100 km of Grid 99.5%
Average Proximity to Nearest Substation / Line 15.3 km
Urban Centers (>10,000 Population) 123
Total Urban Population 13.8 M
Prospective Resource Colocated Near Demand (>1M Pop) 27.4%

Target Sensitivity & Deep EGS Upside

Sensitivity of prospective resource area to adjusted depth and temperature thresholds

150°C Baseline at 5.5 km 16.2% of national territory reaches 150°C at 5.5 km depth
185°C Baseline at 7.5 km 18.2% of national territory reaches 185°C at 7.5 km depth

Global Peer Benchmarking (vs. 278 Assessed Jurisdictions)

Relative ranking distribution of Bangladesh across 11 standardized geothermal indicators

Bangladesh Rank Global Peer Spread
Shallowest 200°C depth
5.7 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 33th percentile
Peak temp at 5 km
181.8 °C Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 33th percentile
Prospective land area (>185°C at 5.5 km)
10.1% Lower 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 17th percentile
Stored heat in-place (3-7 km)
25.3 ZJ Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 44th percentile
Typical geothermal gradient
35.8 °C/km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 51th percentile
Grid proximity (<50 km)
92.7% Top 10%
P0 (Lowest) P50 (Median) P100 (Highest) • 93th percentile
Thin sediment coverage (<1 km)
35.5% Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 36th percentile
Curie isotherm depth
29.9 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 34th percentile
Moho crustal thickness
35.8 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 36th percentile
Model temperature uncertainty spread
±0.9 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 66th percentile
Urban demand colocation
63.4% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 76th percentile
Asset-Level 3D Simulation Available

Need Interactive 3D Spatial Inversion for Bangladesh?

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

Direct Founder Contact: founders@geothermalradar.com

Analytical Geothermal Assessment & Discussion: Bangladesh

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

Resource Overview

Geothermal assessment for Bangladesh indicates sedimentary_rift geological controls governing subsurface heat transport, yielding 10.1% of land area reaching the baseline target of 185°C at 5.5 km depth.

Uncertainty & Model Variance

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

Grid & Infrastructure Colocation

National electrical transmission coverage positions approximately 92.7% of prospective geothermal ground within 50 km of existing high-voltage corridors.

Geological & Basement Setting

Subsurface lithology is characterized by sedimentary rift dynamics with median sediment thickness of 2.7 km and crustal thickness of 35.8 km.

Stored Heat Volume

Accessible thermal energy in place between 3 km and 7 km depth above 80°C totals 25.3 Zettajoules (ZJ).

Peer Comparison

Benchmarked against 237 global assessment jurisdictions, Bangladesh 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 Bangladesh is generated from Geothermal Radar Data Pack 2026.1 utilizing global 0.1° hex-grid thermal inversion across 1 640 model cells (land area: 147 570 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