What question did this study set out to answer?

To propose a new framework for geothermal science that emphasizes adaptive inference and decision-making under uncertainty.

Beyond Simulate-Then-Optimize: Geothermal AI for Geothermal Dynamics Prediction, Design, and Discovery

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This framework reframes geothermal dynamics as adaptive inference, fostering informed decision-making in uncertain environments.

To propose a new framework for geothermal science that emphasizes adaptive inference and decision-making under uncertainty.
Reframe geothermal problems as adaptive inference cycles.
Develop generative models for reservoir evolution and policy learning.
Integrate data-to-equation discovery for transferable geophysics.
Introduced generative world models for predicting reservoir behavior under various conditions.
Demonstrated belief-state policy learning that enhances sustainable operational strategies.
Outlined a methodology for discovering underlying physical principles from data mismatches.

Liu et al. (2026) studied this question.

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