TY - JOUR

T1 - Ground Subsidence above Salt Caverns for Energy Storage

T2 - A Comparison of Prediction Methods with Emphasis on Convergence and Asymmetry

AU - Babaryka, Aleksandra

AU - Benndorf, Jörg

PY - 2023/6/7

Y1 - 2023/6/7

N2 - Mining-induced subsidence can have significant environmental and infrastructural impacts, making subsidence engineering a crucial consideration. However, the unique nature of salt caverns and the increasing demand for reliable subsidence prediction models in the context of energy storage require special attention. This study provides a comparative analysis of existing prediction models and highlights their advantages and disadvantages to determine the most appropriate approach. The study primarily focuses on theoretically developing an empirical influence function for asymmetrical subsidence prediction. It significantly contributes to the field by correcting and extending the existing method, providing a generalized solution applicable to any type of asymmetrical distribution around the cavern. Future research directions include implementing the proposed model in relation to real-world data. The insights gained from this study can help advance subsidence prediction models in the field of salt cavern energy storage, addressing a significant need in the industry.

AB - Mining-induced subsidence can have significant environmental and infrastructural impacts, making subsidence engineering a crucial consideration. However, the unique nature of salt caverns and the increasing demand for reliable subsidence prediction models in the context of energy storage require special attention. This study provides a comparative analysis of existing prediction models and highlights their advantages and disadvantages to determine the most appropriate approach. The study primarily focuses on theoretically developing an empirical influence function for asymmetrical subsidence prediction. It significantly contributes to the field by correcting and extending the existing method, providing a generalized solution applicable to any type of asymmetrical distribution around the cavern. Future research directions include implementing the proposed model in relation to real-world data. The insights gained from this study can help advance subsidence prediction models in the field of salt cavern energy storage, addressing a significant need in the industry.

UR - https://doi.org/10.3390/mining3020020

U2 - 10.3390/mining3020020

DO - 10.3390/mining3020020

M3 - Article

VL - 3.2023

SP - 334

EP - 346

JO - Mining

JF - Mining

SN - 2673-6489

IS - 2

ER -