Estimating Three-Dimensional Permeability Distribution for Modeling Multirate Coreflooding Experiments

Evans Anto-Darkwah, Takeshi Kurotori, Ronny Pini, Avinoam Rabinovich*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


Characterizing subsurface reservoirs such as aquifers or oil and gas fields is an important aspect of various environmental engineering technologies. Coreflooding experiments, conducted routinely for characterization, are at the forefront of reservoir modeling. In this work, we present a method to estimate the three-dimensional permeability distribution and characteristic (intrinsic) relative permeability of a core sample in order to construct an accurate model of the coreflooding experiment. The new method improves previous ones by allowing to model experiments with mm-scale accuracy at various injection rates, accounting for variations in capillary–viscous effects associated with changing flow rates. We apply the method to drainage coreflooding experiments of nitrogen and water in two heterogeneous limestone core samples and estimate the subcore scale permeability and relative permeability. We show that the models are able to estimate the saturation distribution and core pressure drop with what is believed to be sufficient accuracy.

Original languageEnglish
Article number3148
Issue number4
StatePublished - Feb 2023


  • CO2 storage
  • capillary heterogeneity
  • drainage coreflooding
  • energy storage in aquifers
  • multirate coreflooding
  • permeability map
  • subcore scale


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