Speaker
Description
The long-term creep behavior of the surrounding rock of salt cavern energy storage caverns directly impacts their effective storage capacity and service life. However, existing numerical simulation methods suffer from low computational efficiency for creep displacement, while traditional analytical models lack sufficient consideration for the geometric irregularity of the cavern, resulting in poor prediction accuracy. This paper simplifies the horizontal cross-sections of complex 3D caverns into plane strain ring-shaped geometries to derive an analytical solution for the elastic displacement field of the surrounding rock. A correction function, constructed based on numerical experiments, is introduced to compensate for errors induced by this shape simplification. Subsequently, by integrating the Burgers constitutive model and the correspondence principle, the elastic solution is modified to ultimately establish a semi-analytical prediction model for the creep displacement field around the cavern. This model enables rapid prediction of the creep displacement field in the surrounding rock after any operational period under various injection-production scenarios. Demonstrating over 90% agreement with 3D numerical simulation results for predicting creep displacements in the near field of irregularly shaped caverns, it provides a reliable theoretical tool for the full lifecycle digital management of intelligent salt cavern energy storage systems.
| Country | China |
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