14-17 May 2018
New Orleans
US/Central timezone

Dynamic phase connectivity in pore-network models

14 May 2018, 11:18
15m
New Orleans

New Orleans

Oral 20 Minutes MS 2.01: Pore-Scale Modeling and Experiments on Multiphase Flow in Porous Media Parallel 1-H

Speaker

Mr Dmytro Petrovskyy (Heriot-Watt University)

Description

Pore-network modelling is an efficient method to simulate pore-scale multi-phase flow. The pore-network consists of a collection of idealized interconnected discrete network elements – pore nodes and pore throats. Capillary-dominated flow is modelled based on invasion-percolation rules. Although pore-network modelling is much less resource-demanding than direct simulation approaches, current implementations of the invasion-percolation algorithm are still time-consuming, in particular its phase clustering component, which identifies and determines phase trapping. Computational efficiency is essential when calculation of representative flow properties requires very large pore-network models of 10-100s millions network elements, for example for carbonates that exhibit multi-scale pore systems, and when performing multiple simulations for uncertainty analysis of, for example, wettability distributions. The present work introduces a new approach, denoted as dynamic phase connectivity, to track the changes in phase clustering after each displacement step. The relative permeability evaluation procedure has been optimised to accommodate for widely accessible multi-core CPU architectures. The combined speed-up factor of the proposed methodology is from two to three orders of magnitude compared to the best conventional pore-network modelling implementations.

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Primary author

Mr Dmytro Petrovskyy (Heriot-Watt University)

Co-authors

Dr Rink van Dijke (Heriot-Watt University) Dr Zeyun Jiang (Heriot-Watt University) Prof. Sebastian Geiger (Heriot-Watt University) Mr Tianshen Huang (Heriot-Watt University)

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