Study On Heat Storage Prediction of Single Well Pumping and Irrigation System

As global environmental problems are serious, the exploitation and utilization of geothermal resources is crucial to alleviate energy shortage and achieve carbon neutrality. At present, the research system of sustainable geothermal heating theory is not perfect, and accurate evaluation of geothermal resources is the key to sustainable development of geothermal. Due to the seepage barrier caused by geothermal in large scale and long time scale operation, the static prediction of heat storage cannot meet the accurate evaluation of heat storage resources, and the dynamic prediction of heat storage is very important. The flow around the geothermal wellhead changes from Darcy to non-Darcy, and the flow has nonlinear characteristics. An indoor sand box experiment model was built to collect the wellhead differential pressure signal of dynamic heat storage operation. The dynamic characteristics of the differential pressure signal were analyzed based on the multi-scale entropy method, and the dynamic characteristics under different heat storage recharge boundaries were revealed, which is of great significance for the evaluation of dynamic heat storage resources.