Probabilistic analysis of a gas storage cavity mined in a spatially random rock salt medium
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Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/190677
Tipus de documentText en actes de congrés
Data publicació2017
EditorCIMNE
Condicions d'accésAccés obert
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Abstract
In most engineering problems the material parameters spread over spatial
extents but this variability is commonly neglected. Analyses mostly assign the mean
value of a variable to the entire medium, while in the case of heterogeneous materials as
geomaterials, this may lead to an unreliable design. The existing scatter in such materials
can be represented in the design procedure using the random field concept.
In this paper, the random field method is used in a probabilistic analysis of a gas storage
cavern in rock salt. The rock salt formation, as a porous media with low permeability and
particular creep features, has been used for decades as the host rock for the hydrocarbon
storage. To achieve a reliable design, a probabilistic model is presented to compute the
failure probability of a cavern mined in a spatially varying salt dome. Here, the nodilatant
region around the cavity is regarded as the failure criterion. In this regard, a
thermo-mechanical model of a natural gas storage in rock salt, employing BGRa creep
law, is developed. Afterwards, the most effective input variable on the model response is
identified, using global sensitivity analysis. The Karhunen-Loève expansion is introduced
to generate random field. In the following, the subset simulation methodology is utilised
to facilitate the execution of Monte-Carlo method. The findings of this study emphasize
that considering spatial variability in rock properties significantly affects the reliability of
a solution-mined cavity.
ISBN978-84-946909-2-1
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