Multiscale simulation and upscaling

An upscaling-downscaling technique was developed in-house to speed up the modelling of flow and transport in uncertain porous media,
Multiscale modelling of heat transfer in fractured systems,
Upscaling of transport properties from pore scale simulation.

Decarbonisation and hydrogen production

■ Hydrogen production through combination of steam methane reforming (SMR) and water gas shift (WGS),
■ Through an NDA with METHARC, a concept of in-situ hydrogen production from natural gas reservoirs has been verified using computer programming of reactions in catalyst-coated membranes similar to Cloete et al, but at reservoir pressure and temperature.

Uncertainty quantification and optimisation

Use of Probabilistic Collocation Method (PCM) to efficiently quantify parametric uncertainty. The method has been utilised in the context of CO2 residual trapping estimation. The result is comparable to Monte Carlo simulations (MCS) that is inefficient and requires an order of magnitude more function evaluation.

■ Surrogate response surfaces are utilised to find best well/wells location to maximise residual trapping of CO2.

CO2 storage

The current research in this area include modelling of:
Convective dissolution using in-house developed codes,

Convective dissolution of CO2 coupled with geochemistry,
Diffusion-enhanced hydrocarbon recovery from fractured porous media using Schlumberger ECLIPSE reservoir simulator,
CO2-enhanced geothermal heat recovery using Schlumberger ECLIPSE reservoir simulator.
CO2 injection scenarios for the North Sea reservoirs.

Geothermal heat extraction

The group has expertise is modelling heat flow in:
Hot sedimentary aquifers using Schlumberger ECLIPSE reservoir simulator.
Fractured geothermal system using in-house developed codes.
CO2 plume geothermal: utilisation of CO2 to extract heat from the geothermal reservoirs.

Aquifer remediation

■ In-house code development for natural, surfactant-enhanced, and bio- remediation of NAPL and DNAPL in porous media supported by EP/R009678/1 Multiscale modelling of miscible interfaces: Application on surfactant-enhanced aquifer remediation. Publications from this research are listed here. Dr Morteza Aminnaji worked on this project in 2018-2020.

Biofilm development using pore network modelling.

Shale gas transport

In-house code development (pore network modelling) for flow of fluid in triple- and quadruple-porous systems including tight rocks (shale).

Application of machine learning

■ Combination of machine learning and numerical simulations to accelerate modelling of the fluid flow through micro-structured materials.

■ Data augmentation for the segmentation of placental histological images for an automated morphological characterization of inter-villous space to make bio-markers.

Chemical acidizing

In-house code development for modelling rock matrix acidizing:
Wormhole development under two-phase flow conditions,
Wormhole development under spatially correlated permeability,
■ A project was conducted for TotalEnergies to determine the efficiency of perforated acidizing.