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Interpretation of multi-scale permeability data through an information theory perspective
2020
Hydrology and Earth System Sciences
Abstract. We employ elements of information theory to quantify (i) the information content related to data collected at given measurement scales within the same porous medium domain and (ii) the relationships among information contents of datasets associated with differing scales. We focus on gas permeability data collected over Berea Sandstone and Topopah Spring Tuff blocks, considering four measurement scales. We quantify the way information is shared across these scales through (i) the
doi:10.5194/hess-24-3097-2020
fatcat:z5t7sso5t5dylfifgstp2parxq