Stability analysis of complex behavior of salt cavern subjected to cyclic loading by laboratory measurement and numerical modeling using LOCAS (case study: Nasrabad gas storage salt cavern)

2021 ◽  
Vol 80 (8) ◽  
Author(s):  
Rahim Habibi ◽  
Hassan Moomivand ◽  
Mortez Ahmadi ◽  
Amin Asgari
2014 ◽  
Vol 1008-1009 ◽  
pp. 346-355
Author(s):  
Qi Lin Feng ◽  
Hao Cai ◽  
Zhi Long Chen ◽  
Dong Jun Guo ◽  
Yin Ma

Natural gas storages in salt caverns are receiving an increasingly important role in energy storage system of many countries. This study focuses on analyzing the consequence of jet fire associated with natural gas storages in salt caverns. A widely used software, ALOHA, was adopted as simulation tool. The reliability of ALOHA was validated by comparing the simulated results with the field data observed in real accidents and the values calculated by a simple model presented in a previous study. The China's first natural gas storage in salt cavern, Jintan natural gas storage, was selected for case study. The case study reveals that the hazard distance of jet fire decreased with the increase of pipeline length, as well as the decrease of pipeline diameter and operating pressure.


2019 ◽  
Vol 11 (2) ◽  
pp. 251-262 ◽  
Author(s):  
Tongtao Wang ◽  
Jianjun Li ◽  
Gang Jing ◽  
Qingqing Zhang ◽  
Chunhe Yang ◽  
...  

2021 ◽  
Vol 38 ◽  
pp. 102541
Author(s):  
Peng Li ◽  
Yinping Li ◽  
Xilin Shi ◽  
Ahu Zhao ◽  
Shefeng Hao ◽  
...  

2021 ◽  
pp. 103649
Author(s):  
Kai Zhao ◽  
Yuanxi Liu ◽  
Yinping Li ◽  
Hongling Ma ◽  
Wei Hou ◽  
...  

2020 ◽  
Author(s):  
Francesca Silverii ◽  
Djamil Al-Halbouni ◽  
Magdalena Stefanova Vassileva ◽  
Gudrun Richter ◽  
Rongjiang Wang ◽  
...  

<p>Within the framework of the SECURE project, we test modeling techniques used for natural geothermal and volcanic reservoirs and apply them to anthropic underground gas storage facilities. These systems indeed share similar mechanics and physical properties, however gas reservoirs are often extensively monitored, and better imaged. In order to manage fluctuations between gas supply and demand, natural gas can be temporarily stored in different underground storage facilities, such as depleted gas/oil fields, natural aquifers, and salt cavern formations. When properly monitored during storage and withdrawal (production) of gas, these systems provide a unique opportunity to investigate how reservoirs evolve at different time scales, modify the surrounding stress state, produce deformation coupled with diffusion processes, and possibly induce/trigger earthquakes on nearby faults.</p><p>In the first case study we addressed within the framework of SECURE project, we take advantage of well constrained reservoir geometry and physical parameters, records of gas injection/production rates, pore pressure variations, and a local seismic catalog at a gas reservoir in Spain. We implement a poro-elastic model to simulate pressure temporal variations, estimate related stress-state variations, and study eventual relationship with small recorded seismic events. The model is based the software POEL by Wang et al., (2003), a semi-analytical physics-based numerical scheme which allows the computation of transient and steady-state solutions in response to pore-pressure variations. Being 2D axisymmetric, POEL drastically simplify the geometry of the reservoir, but it is particularly suitable to link observables such as pressure variations within the reservoir with the physical/mechanical processes occurring in the surroundings.</p><p>In the second case study we address the stability condition for salt caverns which has been excavated for salt mining purposes. We make use of 2D discrete-element geomechanical models to compare numerical simulation results with field observations in terms of surface subsidence. With this numerical model we consider different pressure conditions for the fluid (brine) filling the cavity, and return different scenarios for the stability of a salt cavern. Such modeling effort aims at improving our understanding of middle-to-long term stability conditions, for those cavities that have been dismissed after anthropic operations such as salt extraction, but also seasonal gas storage.</p>


2016 ◽  
Vol 50 (1) ◽  
pp. 125-137 ◽  
Author(s):  
Tongtao Wang ◽  
Chunhe Yang ◽  
Jianjun Li ◽  
Jinlong Li ◽  
Xilin Shi ◽  
...  

Energies ◽  
2021 ◽  
Vol 14 (10) ◽  
pp. 2859
Author(s):  
Haitao Li ◽  
Jingen Deng ◽  
Qiqi Wanyan ◽  
Yongcun Feng ◽  
Arnaud Regis Kamgue Lenwoue ◽  
...  

Small-spacing twin-well (SSTW) salt caverns have an extensive application prospect in thin or bedded rock salt formations due to their good performance, while they are rarely used in ultra-deep formations. The target strata depth of Pingdingshan salt mine is over 1700 m, and it is planned to apply an SSTW cavern to construct the underground gas storage (UGS). A 3D geomechanical model considering the viscoelastic plasticity of the rock mass is introduced into Flac3D to numerically study the influence of internal gas pressure, cavern upper shape and well spacing on the stability of an SSTW salt cavern for Pingdingshan UGS. A set of assessment indices is summarized for the stability of gas storage. The results show that the minimum internal gas pressure is no less than 14 MPa, and the cavern should not be operated under constant low gas pressure for a long time. The cavern with an upper height of 70 m is recommended for Pingdingshan gas storage based on the safety evaluation and maximum volume. The well spacing has a limited influence on the stability of the salt cavern in view of the volume shrinkage and safety factor. Among the values of 10 m, 20 m and 30 m, the well spacing of 20 m is recommended for Pingdingshan gas storage. In addition, when the cavern groups are constructed, the pillar width on the short axis should be larger than that on the long axis due to its greater deformation in this direction. This study provides a design reference for the construction of salt cavern gas storage in ultra-deep formations with the technology of SSTW.


Author(s):  
Jianfu Wang ◽  
Guoyin An ◽  
Baodong Shan ◽  
Wenquan Wang ◽  
Jianchao Jia ◽  
...  

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