Geothermal Exploration with OpendTect
De-risking geothermal projects through detailed subsurface characterization — from regional screening to reservoir-scale analysis.
Geothermal energy is a pillar of the energy transition. dGB Earth Sciences provides the tools and expertise to de-risk geothermal projects by enabling detailed subsurface characterization — from regional screening to reservoir-scale analysis.
Our platform supports the full geothermal workflow: seismic data conditioning, fault and fracture interpretation, reservoir property estimation, and ongoing monitoring. Machine Learning accelerates each step, reducing interpretation time and increasing confidence.
Low-enthalpy geothermal, made economic.
dGB is a fan of the Low Unit Cost (LUC) concept, developed by Geothermie Groep Nederland (GGN) for harvesting low-enthalpy geothermal energy. LUC installations target temperatures of 60–90°C and enable economic development from smaller-scale projects and lower-quality aquifers — opening up geothermal heating for domestic use and greenhouses.
Fault & Fracture Analysis
Identify permeable pathways and flow barriers, and assess the risk of induced seismicity using dip-steered attributes, fault likelihood, and ML-based fault detection.
Reservoir Characterization
Predict porosity, permeability, and temperature distribution using AI-driven inversion and SynthRock stochastic modeling.
Seismic Attribute Analysis
Utilize OpendTect's unique seismic attribute engine to understand lithology, facies, and structural controls on geothermal reservoirs.
Site Selection & Screening
Use Pseudo-3D workflows to create 3D volumes from 2D seismic for early-stage regional assessments.
