Stability analysis of underground oil storage caverns by an integrated numerical and microseismic monitoring approach

Ma, Keping; Tang, Chun’an; Wang, L.X.; Tang, DeHong; Zhuang, Duanyang; Zhang, Qianbing; Zhao, Jun

doi:10.1016/j.tust.2016.01.024

Cited by 81 publications

(13 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The rock medium as assumed to be composed of rock block and discontinuous during the numerical calculation. A continuous-discontinuous element method (CDEM) can be used to simulate the evolution of the rock mass from a continuous state to a discontinuous state by the breakage of contact interfaces, according to the Maximum Tensile-Stress criterion or Mohr-Coulomb law (Wang et al 2005;Li et al 2007;Ma et al 2016). The governing equations of CDEM are referred to (Jing and Stephansson 2007), which includes linear elastic constitutive equations and displacement-strain relations.…”

Section: Brief Description Of Cdemmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of the spalling process of rock mass around a deep underground ramp based on numerical modeling and in-situ observation

Zhao

Zhang

2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

A comprehensive analysis method based on numerical simulation, displacement monitoring and digital borehole photography was proposed and employed to analyze the spalling characteristics and damage range. A continuous-discontinuous numerical model was set up, and which was calibrated based on field displacement monitoring data from Hongtoushan copper mine, and a developed continuous-discontinuous element method (CDEM) coupling the finite element method and the discrete element method was used to investigate the spalling initiation and propagation in the deep underground ramp under periodic stoping conditions, which was verified by the digital borehole photography. The results showed the initiation, propagation of ramp spalling associated with continuous periodic mining-induced stress, and parallels to the vertical stress direction. Severely spalling failure occurs at the left wall of the ramp, and the spalling depth is about 0.6 m. The spalling strain analysis also indicates that large-scale spalling failure occurs in the left wall, and which was verified by the digital borehole photography observation. The numerical simulation and field observation have good consistency. The comprehensive analysis method provide more realistic results, which helps to understand spalling failure mechanisms in deep hard rock mining and provide references for rock support.

show abstract

Section: Brief Description Of Cdemmentioning

confidence: 99%

“…An contact contains several normal and tangent springs (Figure 4), which connect nodes in different blocks. FEM is used to compute stresses within the block, and DEM is used for the contact between adjacent blocks (Wang et al 2013;Ma et al 2016).…”

Section: Brief Description Of Cdemmentioning

confidence: 99%

Analysis of the spalling process of rock mass around a deep underground ramp based on numerical modeling and in-situ observation

Zhao

Zhang

2020

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

show abstract

“…MS monitoring, as an important and commonly used geophysical method, has been applied in many fields, such as earthquakes [1][2][3][4][5], hydropower stations [6][7][8], metal mines [9][10][11][12], tunnels [13,14], petroleum engineering projects [15,16], hydraulic or pneumatic fracturing [17][18][19], and coal mines [20][21][22][23]. MS has achieved good results.…”

Section: Introductionmentioning

confidence: 99%

Microseismic Signals in Heading Face of Tengdong Coal Mine and Their Application for Rock Burst Monitoring

Ren

Zhang

et al. 2021

Shock and Vibration

View full text Add to dashboard Cite

Microseismic (MS) monitoring is an important and commonly used geophysical method in coal mines to predict rock burst which has great influence on safety production. MS monitoring technology and analysis method of the whole mine or working face have been matured, but its use in heading faces of coal mine is not mature due to small disturbances and narrow layout spaces. To carry out MS monitoring and early warning in the heading face, signal recognition must be adequately performed first, and monitoring objects and indicators must be obtained. Through field tests of MS systems at the 117 track gateway of Tengdong coal mine, interference signals of equipment operation and effective signals of coal vibration are accurately collected. After analysis, the waveform characteristics, spectrum, and propagation distance of the interference signals and coal vibration signal are different. Some effective signals with small energy (one-channel triggering) cannot be used as early warning indicators because they are concealed by interference signals. Through trial operation, it is found that large energy (three-channel and four-channel triggering) coal vibration events successfully predicted a rock burst. The MS system of 117 track gateway of Tengdong coal mine should be able to remove the interference signals in real time through the algorithm and take the number of large energy coal vibration signal rather than all coal vibration events as the predictor for rock burst risk monitoring.

show abstract

“…Various researchers analyzed the rockburst source and failure mechanism based on energy theory, strength theory, rigidity theory, instability theory, bump proneness theory, catastrophe theory, chaos theory, fractal theory, and dissipative structure theory. They classified rockburst according to many rockburst experience criteria [19,[41][42][43][44][45]. However, there is no unified understanding of the occurrence conditions, mechanism, and criteria of rockbursts.…”

Section: Introductionmentioning

confidence: 99%

Rockburst Identification Method Based on Energy Storage Limit of Surrounding Rock

et al. 2020

View full text Add to dashboard Cite

Rockbursts are one of the prominent problems faced by deep underground engineering. Not only do they affect the construction progress, but they also threaten the safety of construction personnel and equipment, and may even induce earthquakes. Therefore, the prediction of rockbursts has very important engineering significance for the excavation of deeply buried tunnels. In this paper, a new indicator for stability and optimization evaluation of hard, brittle surrounding rock under high geo-stresses, namely the minimum energy storage limit of surrounding rock induced by transient unloading, is proposed. In addition, the time for erecting support for tunnel excavation in the rockburst area and the impact of excavation dimensions on rockburst are investigated. The results show that transient unloading during the tunnel excavation process will reduce the energy storage limit of the rock mass. When the strain energy density of the local surrounding rock exceeds the minimum energy storage limit of the rock mass, the rock mass energy is suddenly released, and rockburst occurs. Rockburst is most likely to occur at 0.42–0.65 D away from the working face. The increasing length of a round adopted in high geo-stress areas will make the surrounding rock unstable and increase the probability of rockburst.

show abstract

Stability analysis of underground oil storage caverns by an integrated numerical and microseismic monitoring approach

Cited by 81 publications

References 61 publications

Analysis of the spalling process of rock mass around a deep underground ramp based on numerical modeling and in-situ observation

Analysis of the spalling process of rock mass around a deep underground ramp based on numerical modeling and in-situ observation

Microseismic Signals in Heading Face of Tengdong Coal Mine and Their Application for Rock Burst Monitoring

Rockburst Identification Method Based on Energy Storage Limit of Surrounding Rock

Contact Info

Product

Resources

About