30 May 2022 to 2 June 2022
Asia/Dubai timezone

Predictive multi-scale network models with micro-porosity

2 Jun 2022, 14:00
15m
Oral Presentation (MS09) Pore-scale modelling MS09

Speaker

Dr Sajjad Foroughi (imperial college london)

Description

In pore-scale imaging, it is often not possible to visualize pores of all scales present in one experiment due to the resolution/sample size trade-off. This sub-resolution pore space for some rocks such as Estaillades or the reservoir sample is a significant fraction of the total porosity. We consider this sub-resolution pore space as the micro-porosity. Differential imaging makes it possible to identify micro-porosity in a micro-CT experiment and to quantify its porosity. Including micro-porosity in the pore network model leads to correct saturation and pore volume. Also, it is essential to improve our prediction of connectivity and permeability. Furthermore, it has a significant effect on the accessibility to network elements. In this study microporosity is modeled using a multiscale pore network model. Sensitivity analysis on the effect of micro-porosity in pore network modeling demonstrates the importance of microporosity in pore network modeling for both single-phase flow and multiphase flow.

Participation In person
Country United Kingdom
MDPI Energies Student Poster Award No, do not submit my presenation for the student posters award.
Time Block Preference Time Block B (14:00-17:00 CET)
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Primary authors

Dr Sajjad Foroughi (imperial college london) Dr Branko Bijeljic (Imperial College) Prof. Martin Blunt (Imperial College London)

Presentation materials

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