Homogenisation and Upscaling Modelling Technology for Oil and Gas Applications
A collaboration between Swansea University and Industry
Digital Reconstruction of Rock Formation
Representing complex heterogeneous structures of rocks, capturing multiphase flow behaviour at different length and time scales, and predicting their influence on complex thermal-mechanical-chemical processes occurring during hydrocarbon generation and production are important for practical use of simulation tools in oil & gas industries. Practical numerical simulation needs to be able to handle large models in terms of the number of simulation parameters to be solved on huge number of spatially and temporary discretised domains. From the scale point of view, it needs to have an ability to homogenise and upscale/downscale models used to simulate processes on basin, field, wellbore, laboratory, grain and sub-grain scales. The physical behaviour is generally time dependent as well, and it needs to be correctly captured for large variety of time scales - from millennia to microseconds.
This project is aimed to develop and validate a practical homogenization and upscaling technology that can be implemented to cope with commercial projects in oil & gas development and production. It will need to be scalable in broad sense - across the physical (both spatial & temporal) scales and HPC
multi-core computers. The new HUM modelling strategy is expected to be able to accommodate a wide variety rocks (shales, sand & muds), different reservoir liquids (gas, oil, water - assuming immiscibility within tis projects). One of the main industrial targets of the project is the analysis of carbon dioxide (CO2) sequestration in shale reservoirs where natural gas/methane (CH4) is extracted for power generation. A particular challenge is to understand via computer simulation the interaction between CO2 and CH4 in fractured shale gas reservoirs, providing quantitative evidence on CH4 exploration and CO2 sequestration.
Dr Chenfeng Li (Associate Professor)
T:+44 (0) 1792 602256
PhD Student: Ashutosh Bhokare
Dr Chenfeng Li's interests lie in Computer simulaton of deformation, fracture, energy and mass transport Physically-based modelling for graphics and vision Data-driven stochastic modelling and probabilistic engineering.
Professor Andrew Barron
T:+44 (0) 1792 606930
Professor Andrew R. Barron is the Sêr Cymru Chair of Low Carbon Energy and Environment, where his research involves the application of nanotechnology to fundamental problems in energy research.
- NRN119 - Distortion-resistant and locking-free eight node elements effectively capturing the edge effects of Mindlin-Reissner plates
- NRN119 - A constrained optimization solution for Caughey damping coefficients in seismic analysis,
- NRN119 - Improved hybrid displacement function (IHDF) element scheme for analysis of Mindlin-Reissner plate with edge effect