Optimisation of Polymer Flooding Strategy During the Energy Transition

As the world transitions to cleaner energy, hydrocarbons will still play a role — but must be produced more efficiently and sustainably. This project focuses on polymer flooding, an advanced oil recovery technique where polymer-enhanced water: improves oil recovery rates reduces water production lowers overall carbon emissions Despite proven benefits, adoption remains limited, and many operators still rely on inefficient water flooding methods that: leave significant oil unrecovered increase CO₂ emissions This PhD aims to: improve understanding of polymer-enhanced oil recovery (EOR) develop optimised strategies for field deployment reduce environmental impact while maximising efficiency The research will primarily involve: advanced numerical simulation modelling of multi-phase flow in porous media analysis of viscous fingering and recovery mechanisms A novel simulation method will be used to: directly simulate complex fluid interactions better capture real-world recovery processes Optional (depending on your background): experimental work at Darcy scale Industry collaboration: Funded by SNF (global leader in polymer production) Opportunities to: attend international conferences collaborate with industry engineers visit SNF facilities in France

Applicants should hold at least an upper second-class (2:1) undergraduate degree in Chemistry, Physics, Chemical Engineering, Applied Maths, or a related scientific/engineering subject. A master’s degree or equivalent professional experience is preferable. Strong interests in computational methods, reservoir simulation, multi-phase flow, and enhanced oil recovery are highly desirable. Excellent scientific writing and presentation skills and proficiency in English (IELTS 6.5 or equivalent) are essential.

Apply via the online application form by selecting PhD Petroleum Engineering as the programme. Include the full project title, reference number (EGIS2026-AB), and supervisor name. Complete all required fields, upload your CV, degree certificates, transcripts, academic reference, and a 1-2 page supporting statement explaining your suitability and project approach. Provide evidence of English proficiency if applicable. Contact Dr Alan Beteta (a.beteta@hw.ac.uk) for further information and egis-pgr-apps@hw.ac.uk for application technical support.