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Homogenisation and Upscaling Modelling Technology  for Oil and Gas Applications 

A collaboration between Swansea University and Industry


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 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.



Principal Investigator
Dr Chenfeng Li (Associate Professor)

T:+44 (0) 1792 602256

PhD Student: Ashutosh Bhokare

Dr Chenfeng Li (Associate Professor) Image Dr Chenfeng Li (Associate Professor) Image

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 Barron  Image Professor Andrew Barron  Image

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.