13–16 May 2024
Asia/Shanghai timezone

Petrophysical Properties Estimation Based on Digital Rock Modeling for Sandstone

15 May 2024, 09:25
1h 30m
Poster Presentation (MS10) Advances in imaging porous media: techniques, software and case studies Poster

Speaker

Dr Lyudmila Khakimova (University of Lausanne; Skoltech Institute of Science and Technology)

Description

Permeability and capillary pressure curve are important to characterize hydrocarbon-bearing formations. There are several laboratory approaches to estimate such petrophysical properties. Nevertheless, one faces with the range of complications such as uncertainties during laboratory measurements, treating micro- and nano-pore permeability and multi-scale geometry of the pore space, complex mineral composition.
Within this work, to provide petrophysical properties prediction we combined laboratory investigation and one- and two-phase fluid flow simulations using digital rock models. The workflow was applied for low permeable samples from sandstone reservoir with measured complex mineral composition. We utilized the combination of high-contrast µCT scanning technique and Focused Ion Beam milling with Scanning Electron Microscopy (FIB-SEM) to construct high quality 3D multiclass digital rock models of sandstone samples. The constructed 3D multiclass digital rock models were used as an input for simulations of one- and two immiscible fluid flow through such 3D multiclass porous media and further analysis. Numerical approaches include the direct Navier-Stokes, the Lattice Boltzmann methods. Permeability and drainage capillary pressure curves were experimentally determined from laboratory measurements on core samples and compared to the simulation results. Both predicted permeability and drainage capillary pressure curves were in a good agreement with experimental values.

Acknowledgments: Authors thank the Ministry of Science and Higher Education of the Russian Federation under agreement No. 075-10-2022-011 within the framework of the development pro-gram for a world-class Research Center.

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Primary author

Dr Lyudmila Khakimova (University of Lausanne; Skoltech Institute of Science and Technology)

Co-authors

Mr Andrey Morkovkin (Skoltech Institute of Science and Technology) Dr Alexander Burukhin (Skoltech Institute of Science and Technology) Prof. Alexey Cheremisin (Skoltech Institute of Science and Technology)

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