Probabilistic physical modeling of randomly corroded surface and its use in reliability analysis of corroded pipelines under spatiotemporal vibration

Wang, Yihuan; Xia, Ailin; Zhang, Peng; Qin, Guojin

doi:10.1016/j.oceaneng.2022.112219

Cited by 21 publications

(1 citation statement)

References 47 publications

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“…The common stochastic geological modeling method can be divided into stochastic modeling based on conditional simulation and unconditional simulation through how to utilize the conditional dataset [39,40]. Furthermore, the method used in this paper to construct a heterogeneous lithologic model was a geostatistical program called T-PROG, which is based on the Markov chain.…”

Section: Identification Of the Modelmentioning

confidence: 99%

Analysis of Natural Groundwater Flowing into the Flow Field of In Situ Leaching Mining

Xie

et al. 2023

Processes

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This paper aims to quantitatively analyze the influence of natural groundwater flowing into the flow field of in situ leaching mining. The computational method was built to evaluate the effect of natural groundwater on the production efficiency of pumping wells for the in situ leaching of uranium, and the “flow ratio of groundwater” and related formulas were defined. C1 and C2 mining areas of an in situ leaching uranium mine in Inner Mongolia were taken as an example, and the effect on the “flow ratio of groundwater” when changing the flow quantity of injection wells and the position and length of the filter in the pumping and injection wells were compared. The results show that the variation in the “flow ratio of groundwater” of a whole mining area or a single pumping well in different production stages can be obtained by the neutral solution concentration value from the mining area’s numerical simulation. Regulating the position, length of the filter, and mode of fluid injection in an in situ leaching mine can control the quantity of natural groundwater flowing into the mining area and reduce the fluid exchange between the flow field of in situ leaching uranium mining and natural groundwater.

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Section: Identification Of the Modelmentioning

confidence: 99%