Geomechanics and Engineering

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Prediction model of surface subsidence for salt rock storage based on logistic function

  • Wang, Jun-Bao (School of Civil Engineering, Xi'an University of Architecture and Technology) ;
  • Liu, Xin-Rong (School of Civil Engineering, Xi'an University of Architecture and Technology) ;
  • Huang, Yao-Xian (School of Civil Engineering, Chongqing University) ;
  • Zhang, Xi-Cheng (School of Civil Engineering, Xi'an University of Architecture and Technology)
  • Received : 2014.09.03
  • Accepted : 2015.03.13
  • Published : 2015.07.25
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Abstract

To predict the surface subsidence of salt rock storage, a new surface subsidence basin model is proposed based on the Logistic function from the phenomenological perspective. Analysis shows that the subsidence curve on the main section of the model is S-shaped, similar to that of the actual surface subsidence basin; the control parameter of the subsidence curve shape can be changed to allow for flexible adjustment of the curve shape. By using this model in combination with the MMF time function that reflects the single point subsidence-time relationship of the surface, a new dynamic prediction model of full section surface subsidence for salt rock storage is established, and the numerical simulation calculation results are used to verify the availability of the new model. The prediction results agree well with the numerical simulation results, and the model reflects the continued development of surface subsidence basin over time, which is expected to provide some insight into the prediction and visualization research on surface subsidence of salt rock storage.

Keywords

Acknowledgement

Supported by : National Natural Science Foundation of China, Education Department of Shaanxi Provincial Government

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