TH-FA Asia Pacific Updated 2026-08-20

Thailand (Fang Valley) Geothermal Screening

Geothermal screening assessment identifies 18.9% prospective land reaching 185°C by 5.5 km depth in Thailand (Fang Valley).

Key Geothermal Metrics

Land Reaching 185°C by 5.5 km Moderate
18.9%

Primary baseline screening criterion

Shallowest Depth to 200°C Shallow
4.5 km

Minimum drill depth for high enthalpy

Peak Temperature at 5 km Depth Commercial EGS
242.2 °C

Maximum modeled temperature

Typical Geothermal Gradient Elevated
34.5 °C/km

Average to 5 km depth (15°C surface)

Grid Connectable Prospective Area High Accessibility
89.4%

Hot territory within 50 km transmission

Stored Heat In-Place (3–7 km) 1 ZJ = 10²¹ Joules
77.4 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 4.1% 9.6% 17.5% 20.3% 28.7% 37%
175°C 3.3% 9.2% 12.4% 16.7% 24.3% 28.9%
200°C 3.1% 6.5% 10.8% 15.9% 20.2% 22.4%
225°C 2.7% 5.5% 7.3% 9.7% 15% 15.1%
250°C 1.2% 3.2% 5.1% 5.8% 7.7% 9.3%

4-Stage Geothermal Resource & Infrastructure Funnel

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

1 Whole country
12 500 km² 100%
2 Reaches 185°C by 5.5 km
2 362 km² 18.9%
3 ...and within 50 km transmission
2 112 km² 16.9%
4 ...and within 100 km town
1 733 km² 15.8%

Geological Setting & Subsurface Parameters

Lithology, basement thickness, stress and thermal boundary constraints

Median Depth to 200°C Isotherm 7.4 km
Best 10th Percentile Depth to 200°C 5.1 km
Median Temperature at 5 km Depth 179.1 °C
Best 10th Percentile Temp at 5 km 206.1 °C
Median Sediment Thickness 1.4 km
Sediment / Hard-Rock Well Share 44.4%
Territory Under 1 km Sediment Cover 64.8%
Lithostatic Pressure at 5 km Depth 139.8 MPa
Moho Crustal Discontinuity Depth 34.2 km
Thermal Lithosphere Thickness 80.9 km
Curie Temperature Isotherm Depth 21 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 2 668 km
Land Area Within 25 km of Grid 70.7%
Land Area Within 50 km of Grid 89.4%
Land Area Within 100 km of Grid 99.5%
Average Proximity to Nearest Substation / Line 19.1 km
Urban Centers (>10,000 Population) 15
Total Urban Population 4.8 M
Prospective Resource Colocated Near Demand (>1M Pop) 32.1%

Target Sensitivity & Deep EGS Upside

Sensitivity of prospective resource area to adjusted depth and temperature thresholds

150°C Baseline at 5.5 km 30.2% of national territory reaches 150°C at 5.5 km depth
185°C Baseline at 7.5 km 34% of national territory reaches 185°C at 7.5 km depth

Global Peer Benchmarking (vs. 278 Assessed Jurisdictions)

Relative ranking distribution of Thailand (Fang Valley) across 11 standardized geothermal indicators

Thailand (Fang Valley) Rank Global Peer Spread
Shallowest 200°C depth
4.5 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 50th percentile
Peak temp at 5 km
242.2 °C Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 57th percentile
Prospective land area (>185°C at 5.5 km)
18.9% Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 32th percentile
Stored heat in-place (3-7 km)
77.4 ZJ Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 59th percentile
Typical geothermal gradient
34.5 °C/km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 49th percentile
Grid proximity (<50 km)
89.4% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 89th percentile
Thin sediment coverage (<1 km)
64.8% Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 65th percentile
Curie isotherm depth
21 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 54th percentile
Moho crustal thickness
34.2 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 38th percentile
Model temperature uncertainty spread
±0.6 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 62th percentile
Urban demand colocation
61.9% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 62th percentile
Asset-Level 3D Simulation Available

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Analytical Geothermal Assessment & Discussion: Thailand (Fang Valley)

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

Resource Overview

Geothermal assessment for Thailand (Fang Valley) indicates granite_radiogenic geological controls governing subsurface heat transport, yielding 18.9% of land area reaching the baseline target of 185°C at 5.5 km depth.

Uncertainty & Model Variance

Thermal inversion across Thailand (Fang Valley) shows consistent model convergence with constrained standard deviations across deep crustal layers.

Grid & Infrastructure Colocation

National electrical transmission coverage positions approximately 89.4% of prospective geothermal ground within 50 km of existing high-voltage corridors.

Geological & Basement Setting

Subsurface lithology is characterized by granite radiogenic dynamics with median sediment thickness of 1.4 km and crustal thickness of 34.2 km.

Stored Heat Volume

Accessible thermal energy in place between 3 km and 7 km depth above 80°C totals 77.4 Zettajoules (ZJ).

Peer Comparison

Benchmarked against 237 global assessment jurisdictions, Thailand (Fang Valley) 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 Thailand (Fang Valley) is generated from Geothermal Radar Data Pack 2026.1 utilizing global 0.1° hex-grid thermal inversion across 139 model cells (land area: 12 500 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.
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