TH-SK Asia Pacific Updated 2026-08-20

Thailand (San Kamphaeng Basin) Geothermal Screening

Geothermal screening assessment identifies 14.5% prospective land reaching 185°C by 5.5 km depth in Thailand (San Kamphaeng Basin).

Key Geothermal Metrics

Land Reaching 185°C by 5.5 km Moderate
14.5%

Primary baseline screening criterion

Shallowest Depth to 200°C Shallow
4.3 km

Minimum drill depth for high enthalpy

Peak Temperature at 5 km Depth Commercial EGS
225.4 °C

Maximum modeled temperature

Typical Geothermal Gradient Elevated
38.1 °C/km

Average to 5 km depth (15°C surface)

Grid Connectable Prospective Area High Accessibility
93.9%

Hot territory within 50 km transmission

Stored Heat In-Place (3–7 km) 1 ZJ = 10²¹ Joules
27.6 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 3.4% 6.9% 11.1% 14.5% 21.7% 23.9%
175°C 2.5% 5.7% 9.6% 11.2% 16.1% 19.4%
200°C 1.6% 3.5% 6.4% 8.2% 12.1% 15.4%
225°C 1.3% 2.4% 4.4% 5.8% 8.7% 8.9%
250°C 0.6% 1.3% 2.2% 3.1% 4% 5.3%

4-Stage Geothermal Resource & Infrastructure Funnel

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

1 Whole country
14 200 km² 100%
2 Reaches 185°C by 5.5 km
2 059 km² 14.5%
3 ...and within 50 km transmission
1 933 km² 13.6%
4 ...and within 100 km town
1 742 km² 12.4%

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 5.4 km
Median Temperature at 5 km Depth 160.2 °C
Best 10th Percentile Temp at 5 km 204.4 °C
Median Sediment Thickness 1.3 km
Sediment / Hard-Rock Well Share 20.4%
Territory Under 1 km Sediment Cover 66.6%
Lithostatic Pressure at 5 km Depth 137.5 MPa
Moho Crustal Discontinuity Depth 30 km
Thermal Lithosphere Thickness 88 km
Curie Temperature Isotherm Depth 22.9 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 3 297 km
Land Area Within 25 km of Grid 73.9%
Land Area Within 50 km of Grid 93.9%
Land Area Within 100 km of Grid 99.5%
Average Proximity to Nearest Substation / Line 15.2 km
Urban Centers (>10,000 Population) 45
Total Urban Population 5.2 M
Prospective Resource Colocated Near Demand (>1M Pop) 65.4%

Target Sensitivity & Deep EGS Upside

Sensitivity of prospective resource area to adjusted depth and temperature thresholds

150°C Baseline at 5.5 km 23.2% of national territory reaches 150°C at 5.5 km depth
185°C Baseline at 7.5 km 26.1% of national territory reaches 185°C at 7.5 km depth

Global Peer Benchmarking (vs. 278 Assessed Jurisdictions)

Relative ranking distribution of Thailand (San Kamphaeng Basin) across 11 standardized geothermal indicators

Thailand (San Kamphaeng Basin) Rank Global Peer Spread
Shallowest 200°C depth
4.3 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 53th percentile
Peak temp at 5 km
225.4 °C Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 50th percentile
Prospective land area (>185°C at 5.5 km)
14.5% Lower 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 24th percentile
Stored heat in-place (3-7 km)
27.6 ZJ Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 45th percentile
Typical geothermal gradient
38.1 °C/km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 54th percentile
Grid proximity (<50 km)
93.9% Top 10%
P0 (Lowest) P50 (Median) P100 (Highest) • 94th percentile
Thin sediment coverage (<1 km)
66.6% Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 67th percentile
Curie isotherm depth
22.9 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 50th percentile
Moho crustal thickness
30 km Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 46th percentile
Model temperature uncertainty spread
±1.1 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 46th percentile
Urban demand colocation
43.6% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 63th percentile
Asset-Level 3D Simulation Available

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Analytical Geothermal Assessment & Discussion: Thailand (San Kamphaeng Basin)

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

Resource Overview

Geothermal assessment for Thailand (San Kamphaeng Basin) indicates granite_radiogenic geological controls governing subsurface heat transport, yielding 14.5% of land area reaching the baseline target of 185°C at 5.5 km depth.

Uncertainty & Model Variance

Thermal inversion across Thailand (San Kamphaeng Basin) shows consistent model convergence with constrained standard deviations across deep crustal layers.

Grid & Infrastructure Colocation

National electrical transmission coverage positions approximately 93.9% 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 1.3 km and crustal thickness of 30 km.

Stored Heat Volume

Accessible thermal energy in place between 3 km and 7 km depth above 80°C totals 27.6 Zettajoules (ZJ).

Peer Comparison

Benchmarked against 237 global assessment jurisdictions, Thailand (San Kamphaeng Basin) 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 (San Kamphaeng Basin) is generated from Geothermal Radar Data Pack 2026.1 utilizing global 0.1° hex-grid thermal inversion across 158 model cells (land area: 14 200 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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