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Rock Mechanics and Rock Engineering

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25.09.2023 | Original Paper

Pore Structure and Brine Flow Simulation of Salt Cavern Sediments Based on X-ray Computed Tomography

verfasst von: Peng Li, Yinping Li, Xilin Shi, Hongling Ma, Kai Zhao, Xiaopeng Liang, Xinxing Wei, Chunhe Yang

Erschienen in: Rock Mechanics and Rock Engineering | Ausgabe 1/2024

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Abstract

Enhancing natural gas storage capacity by utilizing the pore space of sediments in cavern bottoms holds significant potential, particularly in high impurity salt formations. This study presents comprehensive insights into the pore structures of sediment samples through the application of X-ray computed tomography imaging. Three-dimensional reconstruction models were employed to extract and quantitatively analysed the pore network characteristics. Fluid flow simulations were conducted to investigate the non-uniform distribution of the brine velocity field, influenced significantly by particle size. Probability and cumulative distribution curves of pore equivalent radius, pore coordination number, pore throat equivalent radius, and throat length were effectively fitted using the log-normal and Boltzmann functions, respectively. Notably, the permeability of partial packings exhibited a positive correlation with porosity and displayed an upward trend in correlation with particle size. Moreover, during the debrining process, sediments comprising finer particles exhibited a higher susceptibility to blockage, thereby escalating the risk of particle clogging. These findings offer valuable insights for the development of anti-clogging strategies during debrining operations.

Vorheriger Artikel Experimental Study of Compact Sandstone Deformation Under Axisymmetric Triaxial Loading Along Specific Paths in Stress Space

Nächster Artikel Probing the Hydro-mechanical Response of a Clayey Rock for Radioactive Waste Disposal Using a Transversely Isotropic Damage Constitutive Model

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Titel: Pore Structure and Brine Flow Simulation of Salt Cavern Sediments Based on X-ray Computed Tomography
verfasst von: Peng Li
Yinping Li
Xilin Shi
Hongling Ma
Kai Zhao
Xiaopeng Liang
Xinxing Wei
Chunhe Yang
Publikationsdatum: 25.09.2023
Verlag: Springer Vienna
Erschienen in: Rock Mechanics and Rock Engineering / Ausgabe 1/2024
Print ISSN: 0723-2632
Elektronische ISSN: 1434-453X
DOI: https://doi.org/10.1007/s00603-023-03556-0

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