Research and practice of intelligent development of geothermal field based on the integration of heat storage,wellbore and ground
The exploitation and utilization of geothermal energy plays an important role in optimizing energy structure,achieving carbon peak and carbon neutrality.According to the idea of overall planning,gradual implementation and highlighting key points,the overall architecture of intelligent geothermal field is designed,and the practice is carried out in combination with geothermal heating business.The overall architecture is"one center,two platforms",namely data resource center,geothermal waste heat production command platform,underground and ground integrated collaborative application platform,of which data resource center is the foundation.The geothermal waste heat production command platform is the core,and the underground and ground integrated collaborative application platform is an important support.Taking geological heat reservoir and geothermal wellbore as the ground boundary conditions of geothermal resource development,an integrated coupling model of geological heat reservoir-wellbore and ground based on IAM(integrated asset model)technology was established,and combined with machine learning and other technologies,intelligent auxiliary decision-making for geothermal heating was initially realized,supporting prediction and early warning,stable development,intelligent operation and maintenance,and safe production.The technical scheme has been applied in the optimization and adjustment of geothermal field development,the optimization of process equipment in pipe network and heat exchange station,intelligent heating operation and maintenance,etc.The overall architecture design conforms to the development direction of information technology,and has reference value for the intelligent development of geothermal resources.
Intelligent geothermal fieldIntegration modelGeothermal energy developmentTechnical routeMachine learningAuxiliary decision
NETL
NSTL
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