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Modeling Oil Recovery for Mixed Macro- and Micro-Pore Carbonate Grainstones
- Source :
- Scientific Reports, Vol 7, Iss 1, Pp 1-11 (2017), Scientific Reports
- Publication Year :
- 2017
- Publisher :
- Nature Publishing Group, 2017.
-
Abstract
- In general, modeling oil-recovery is a challenging problem involving detailed fluid flow calculations with required structural details that challenge current experimental resolution. Recent laboratory experiments on mixed micro- and macro-pore suggest that there is a systematic relationship between remaining oil saturation (ROS) and the fraction of micro-pores. Working with experimental measurements of the pores obtained from X-ray tomography and mercury intrusion capillary pressure porosimetry, we define a digital rock model exemplifying the key structural elements of these carbonate grainstones. We then test two fluid-flow models: invasion percolation model and effective medium model. Although invasion percolation identifies the important impact of macro-pore percolation on permeability, it does not describe the dependence of ROS on micro-pore percentage. We thus modified the effective medium model by introducing a single-parameter descriptor, reff. Oil from pores r ≥ reff is fully removed, while for the remaining pores with r eff, their contribution is scaled by (r/reff)2. Applying this straightforward physics to pore size distributions for the mixed-pore grainstones reproduces the experimental ROS dependence.
- Subjects :
- Pore size
Capillary pressure
Multidisciplinary
lcsh:R
Mineralogy
lcsh:Medicine
Porosimetry
010502 geochemistry & geophysics
01 natural sciences
Article
Permeability (earth sciences)
chemistry.chemical_compound
chemistry
0103 physical sciences
Fluid dynamics
Carbonate
lcsh:Q
Macro
010306 general physics
Saturation (chemistry)
lcsh:Science
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 7
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....27c5a07b518d59a18c9adee3537d96f8
- Full Text :
- https://doi.org/10.1038/s41598-017-09507-4