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The evolution of fractures in reservoirs determines the efficacy of an enhanced geothermal system (EGS). Monitoring changes in fracture network characteristics aid assessment of reservoir performance. The real-time EGS assessments provide valuable information to optimize stimulation schemes and maximize heat production.. Our AI-based system would characterize differences in various aspects of geology/reservoir, regulation/permitting, and available data between the old and new fields. The value of this project includes:

  • Monitoring the evolution of fractures under different operational conditions

  • Assessing, improving, and predicting EGS performance from prior learning

  • Developing a site specific EGS design from knowledge of natural fractures in heat production

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