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Identification of Heat Storage Supply and Flow Characteristics Based On Multi-Scale Fuzzy Entropy
Single well pumping and irrigation technology has the economic advantages of saving drilling costs and revitalizing old wells. However, due to the problem of heat penetration, it is difficult to ensure the long-term stable heat exchange efficiency. The supply boundary has an important impact on the heat extraction efficiency of the single well pumping and irrigation system. Sufficient supply flow can effectively improve the pumping temperature of the single well pumping and irrigation system, which is of great significance to the sustainable operation of the single well pumping and irrigation system. In order to identify the characteristics of different supply boundaries of underground heat storage, taking the single well system as the research object, this paper establishes an indoor seepage sand box test-bed of overflow single well pumping and irrigation system, and collects the differential pressure signals of dynamic operation of heat storage under various boundary supply modes, including remote constant pressure supply, remote constant flow supply and remote no supply modes. In this paper, the fuzzy entropy characteristics of different differential pressure signals are analyzed, and it is found that the fuzzy entropy of differential pressure signals of different boundary recharge modes presents obvious laws. The research results obtained in this paper can provide a certain basis for the follow-up research of heat reservoir boundary prediction.