Home / Projects / Subsurface modeling and analysis / Geothermal field optimization using numerical simulation and AI

Project

Organization and Company name

Flux Energy Solutions

Geothermal field optimization using numerical simulation and AI

Image Credit: Flux Energy Solutions
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Project

Organization and Company name

Flux Energy Solutions

Geothermal field optimization using numerical simulation and AI

Image Credit: Flux Energy Solutions
Award Category

Subsurface modeling and analysis

Location

Manisa, Salihli, Türkiye

Bentley software used

Volsung

Project summary

To support Turkey’s renewable energy goals, optimizing geothermal reservoir performance of a 69.5- megawatt field, Flux Energy was engaged to perform advanced numerical simulation and AI-driven proxy modeling for sustainable reservoir management. The size, complexity, and fractured nature of the reservoir presented modeling, data processing, integration, and simulation challenges that manual methods and prior conventional software failed to address. Flux needed a fast, scalable, and geothermal-focused digital platform to accurately simulate 3,000 scenarios and integrate results with AI models.

Flux selected Volsung for its robust processing and automation features and fully integrated geothermal simulation environment, allowing them to manage thousands of simulation scenarios with high fidelity and efficiency. Bentley’s geothermal simulation application shortened modeling time by 80%, compressing a 60-month project into 12 months, and reduced project delivery costs by 76%. The platform enabled Flux to deliver a model that will evolve with new data and AI integration, forming a lasting digital asset that will support decision-making and ensure reliable, sustainable geothermal energy output for the region.

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