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Geothermal Field Optimization using Numerical Simulation and AI 

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SUSTAINABILITY CHALLENGE

One of the 4 Key Sustainability Challenges

3D visualization of subsurface temperature distribution using numerical simulation, with a color gradient from 140°C (blue) to 262°C (red) and labeled vertical lines indicating measurement points for geothermal field optimization.

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UTILIZED SOFTWARE

Bentley Software

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PROJECT SUMMARY

Flux Energy Solutions, working in Manisa, Türkiye, tackled the complex challenge of sustainably managing the 69.5 MW Caferbey Geothermal Field. Geothermal energy is only truly renewable if thermal drawdown is prevented. Using Bentley Volsung’s software, the team compressed a 60-month modeling project into just 12 months, achieving over 500% efficiency gain and a 76% cost reduction (saving ~$760,000). Volsung’s integrated MINC modeling enabled the creation of a high-fidelity numerical and AI proxy model of the fractured reservoir. This model now guides Sanko Enerji in making precise reinjection and production decisions, minimizing drilling, reducing thermal breakthrough risk, and extending the field’s life. This digital breakthrough ensures the reliable output of 69.5 MW of clean, baseload energy, directly advancing Türkiye’s Energy Transition goals and securing long-term resource sustainability.

Relevant UN Sustainable Development Goals (SDGs)

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