PH-06 Asia Pacific Updated 2026-08-20

Philippines (Visayas Geothermal Belt) Geothermal Screening

Geothermal screening assessment identifies 30% prospective land reaching 185°C by 5.5 km depth in Philippines (Visayas Geothermal Belt).

Key Geothermal Metrics

Land Reaching 185°C by 5.5 km High Potential
30%

Primary baseline screening criterion

Shallowest Depth to 200°C Very Shallow
2.3 km

Minimum drill depth for high enthalpy

Peak Temperature at 5 km Depth Superhot
285.9 °C

Maximum modeled temperature

Typical Geothermal Gradient Volcanic / Rift
56.2 °C/km

Average to 5 km depth (15°C surface)

Grid Connectable Prospective Area Moderate Distance
79.2%

Hot territory within 50 km transmission

Stored Heat In-Place (3–7 km) 1 ZJ = 10²¹ Joules
26.3 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 8.3% 21.5% 32.4% 48.4% 56.6% 70.9%
175°C 7% 18.2% 26.4% 42.3% 51.9% 69%
200°C 6.4% 14.5% 22.4% 33.2% 45.7% 55.7%
225°C 6.7% 12.7% 21.6% 26.6% 37.8% 38.4%
250°C 4.7% 11.3% 16% 19.7% 29.7% 34.9%

4-Stage Geothermal Resource & Infrastructure Funnel

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

1 Whole country
61 077 km² 100%
2 Reaches 185°C by 5.5 km
18 323 km² 30%
3 ...and within 50 km transmission
14 512 km² 23.8%
4 ...and within 100 km town
12 323 km² 20.4%

Geological Setting & Subsurface Parameters

Lithology, basement thickness, stress and thermal boundary constraints

Median Depth to 200°C Isotherm 4.8 km
Best 10th Percentile Depth to 200°C 3.1 km
Median Temperature at 5 km Depth 206.5 °C
Best 10th Percentile Temp at 5 km 271.5 °C
Median Sediment Thickness 0.4 km
Sediment / Hard-Rock Well Share 42.9%
Territory Under 1 km Sediment Cover 90.5%
Lithostatic Pressure at 5 km Depth 131 MPa
Moho Crustal Discontinuity Depth 43.8 km
Thermal Lithosphere Thickness 125.4 km
Curie Temperature Isotherm Depth 16.2 km
Model Temperature Spread Uncertainty (200°C) ±1.3 km

Transmission Grid & Demand Colocation

Infrastructure interconnectivity and urban power demand proximity

High-Voltage Transmission Network Length 4 169 km
Land Area Within 25 km of Grid 61.9%
Land Area Within 50 km of Grid 79.2%
Land Area Within 100 km of Grid 93%
Average Proximity to Nearest Substation / Line 9.9 km
Urban Centers (>10,000 Population) 31
Total Urban Population 10.5 M
Prospective Resource Colocated Near Demand (>1M Pop) 29.3%

Target Sensitivity & Deep EGS Upside

Sensitivity of prospective resource area to adjusted depth and temperature thresholds

150°C Baseline at 5.5 km 48% of national territory reaches 150°C at 5.5 km depth
185°C Baseline at 7.5 km 54% of national territory reaches 185°C at 7.5 km depth

Global Peer Benchmarking (vs. 278 Assessed Jurisdictions)

Relative ranking distribution of Philippines (Visayas Geothermal Belt) across 11 standardized geothermal indicators

Philippines (Visayas Geothermal Belt) Rank Global Peer Spread
Shallowest 200°C depth
2.3 km Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 81th percentile
Peak temp at 5 km
285.9 °C Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 74th percentile
Prospective land area (>185°C at 5.5 km)
30% Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 50th percentile
Stored heat in-place (3-7 km)
26.3 ZJ Lower 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 44th percentile
Typical geothermal gradient
56.2 °C/km Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 80th percentile
Grid proximity (<50 km)
79.2% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 79th percentile
Thin sediment coverage (<1 km)
90.5% Top 10%
P0 (Lowest) P50 (Median) P100 (Highest) • 90th percentile
Curie isotherm depth
16.2 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 64th percentile
Moho crustal thickness
43.8 km Lower 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 21th percentile
Model temperature uncertainty spread
±0.9 km Middle 50%
P0 (Lowest) P50 (Median) P100 (Highest) • 74th percentile
Urban demand colocation
42.3% Top 25%
P0 (Lowest) P50 (Median) P100 (Highest) • 82th percentile
Asset-Level 3D Simulation Available

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Analytical Geothermal Assessment & Discussion: Philippines (Visayas Geothermal Belt)

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

Resource Overview

Geothermal assessment for Philippines (Visayas Geothermal Belt) indicates volcanic_arc geological controls governing subsurface heat transport, yielding 30% of land area reaching the baseline target of 185°C at 5.5 km depth.

Uncertainty & Model Variance

Thermal inversion across Philippines (Visayas Geothermal Belt) shows consistent model convergence with constrained standard deviations across deep crustal layers.

Grid & Infrastructure Colocation

National electrical transmission coverage positions approximately 79.2% of prospective geothermal ground within 50 km of existing high-voltage corridors.

Geological & Basement Setting

Subsurface lithology is characterized by volcanic arc dynamics with median sediment thickness of 0.4 km and crustal thickness of 43.8 km.

Stored Heat Volume

Accessible thermal energy in place between 3 km and 7 km depth above 80°C totals 26.3 Zettajoules (ZJ).

Peer Comparison

Benchmarked against 237 global assessment jurisdictions, Philippines (Visayas Geothermal Belt) 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 Philippines (Visayas Geothermal Belt) is generated from Geothermal Radar Data Pack 2026.1 utilizing global 0.1° hex-grid thermal inversion across 679 model cells (land area: 61 077 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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