Coventry University Featured PhD Programmes
Engineering and Physical Sciences Research Council Featured PhD Programmes
University of Liverpool Featured PhD Programmes
Brunel University London Featured PhD Programmes
University of Reading Featured PhD Programmes

Pore scale modelling of foam flow in porous media


Project Description

Foams are quite widely used for the stimulation of mature reservoirs as they allow a high viscosity fluid to be produced in-situ from comparatively low viscosity constituents. One of the restrictions on the use of foams for reservoir stimulation is our comparatively rudimentary ability to predict and control the behaviour of the foam phase compared to our ability to predict the behaviour of other phases within a reservoir. This is largely because the rheology of the foam within the porous media is very non-Newtonian and only weakly dependent on the rheology of the constituent fluids, while being strongly dependant on the bubble size and the pore geometry. The bubble size itself is controlled by the pores, as they are crucial to the creation and destruction of the films that separate the bubbles. This means that the rheological properties of the foam will evolve both spatially and temporally in a manner that is not easily captured in the traditional framework of rock dependent absolute permeability and saturation dependent relative permeability.

The student will use a range of experimental techniques to understand the behaviour of foam in porous media at different pore sizes and geometries. 3D printing will be used to manufacture a series of media with pore arrangements of increasing complexity, with macro-photography and high-speed photography used to obtain bubble coalescence and rheological data that allow the characterization of foam behaviour at the pore scale. They will also extend previous work on pore scale modelling of the motion of films as they traverse a single pore of variable cross-section into more complex geometries so that the effect of having multiple interlinked pores on the apparent rheology of the foam can be assessed numerically. In addition to the pore arrangements used for the experimental part of this work, more realistic pore networks will also be considered, which will be obtained from microCT imaging of the voids within actual reservoir rocks.

The ultimate outcome of this work will be an understanding of the pore scale foam dynamics that can be used to develop improved continuum scale models for foam flow for implementation within reservoir scale simulators. The project is ideal for a candidate with a very strong background in physics or engineering and a keen interest in petroleum reservoirs.

Enquiries

Informal enquiries can be addressed to Dr Pablo Brito-Parada ().

Application Web Page

Applications should be made via Imperial College London’s online system (details at http://www3.imperial.ac.uk/earthscienceandengineering/courses/phdopportunities/phdapplicationprocedure).

Funding Notes

*Applications will be considered until 22/03/19. Candidates must contact the supervisors ASAP to indicate their intention to apply

The successful candidate will be funded by NERC's Centre for Doctoral Training in Oil & Gas and should be available to start immediately to benefit from the CDT training programme.

NERC's CDT in O&G (View Website) combines a broad range of the UK’s leading research-intensive universities and offers a unique, world-class multidisciplinary PhD training programme, industry internships, and outstanding employment prospects.

Please note there are strict eligibility criteria: applicants are required either to be UK nationals or have settled status in the UK.

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.

Your enquiry has been emailed successfully





FindAPhD. Copyright 2005-2019
All rights reserved.