Flux Energy Solutions’ AI-Driven Optimization of the Salihli Geothermal Field
Organization: Flux Energy Solutions
Project Name: Salihli Geothermal Field Optimization
Location: Salihli, Manisa, Türkiye
Project Phase: Completed (date not specified)
Bentley Software: Volsung — Geothermal reservoir simulation software
Additional Context: Flux Energy Solutions compressed a 60-month geothermal project into just 12 months, achieving a 500% modeling efficiency gain and running 3,000 high-fidelity simulations. By leveraging Volsung’s GPU acceleration and physics-informed AI proxy modeling, the team reduced 10 million scenario evaluations from 380 years to under 10 days, optimized a 69.5 MW geothermal field, and supported Turkey’s renewable energy strategy by enhancing reservoir sustainability and extending field life.
Project
Flux Energy was tasked with maximizing sustainable geothermal reservoir performance for a 69.5-megawatt field in the volcanically active Salihli district of western Türkiye. The goal was to overcome the challenges of the reservoir’s size, complexity, and naturally fractured nature to ensure long-term sustainability.
Facts
- Compressed a 60-month geothermal reservoir simulation into 12 months using Volsung AI modeling
- Cut geothermal project costs from $1M to $240K through AI proxy simulation
- Ran 3,000 geothermal simulations with 500% efficiency gains using GPU acceleration
- Reduced 10M scenario evaluations from 380 years to under 10 days with AI modeling
- Optimized a 69.5MW geothermal field in Salihli, Türkiye using Volsung software
“Volsung empowered us to efficiently run 3,000 simulations, reducing modeling time by over 90%. This breakthrough allowed us to compress a project that would typically take 60 months using legacy methods down to just 12 months.”
Solution
The team used Volsung platform by Seequent, The Bentley Subsurface Company, for its robust processing, automation, and fully integrated geothermal simulation. This enabled the efficient management of thousands of scenarios and integration with AI-driven proxy models. Volsung’s GPU acceleration and intuitive interface were critical for modeling the complex, naturally fractured reservoir and generating large datasets for machine learning..
Outcome
Time and cost savings: Reduced simulation time by over 80%. The project timeline was cut from an estimated 60 months to just 12 months. Project costs were slashed by 76%, from about USD 1 million to USD 240,000.
Scenario evaluation: The combined use of Volsung and AI reduced the evaluation time for a massive 10 million scenarios from an estimated 380 years to under 10 days.
Field longevity: The improvements help extend the field’s operational life, minimize thermal drawdown, and reduce the need for additional drilling, ensuring the sustainable management of the reservoir.
Software
Volsung — Geothermal reservoir simulation software
Explore how Bentley’s Volsung software used AI proxy modeling to speed up geothermal reservoir simulation and cut delivery time.
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