PhD Studentship in Seismic History Matching

We are currently seeking a highly motivated individual with a background in reservoir geophysics, reservoir engineering or geology to join the multi-disciplinary Seismic History Matching research project. The project will focus on using time-lapse seismic to constrain reservoir simulation models developed in the oil and gas industry.

There are several exciting areas of research. We are investigating methods in the history matching area that improve convergence, properly combine frequent and Life of Field Seismic data with simulation models and we will also identify appropriate domains for comparison of seismic in the modelled and observed domain.

The appropriate candidate will have a BSc or Masters equivalent in reservoir geophysics, a physical science, engineering or geology. You should be self-motivated, enthusiastic and possess good written and oral communication skills. We do require that you can demonstrate a good knowledge of applied mathematics and physics via qualifications or work experience. Some computer programming experience is required. Additional industry or research experience of topics such as 3D seismic acquisition and analysis, time-lapse analysis, geological modelling, geostatistics, reservoir simulation and history matching would be a distinct advantage but are not necessary.

The PhD degree in the UK is of three years duration. Students are expected to undertake an MSc by research in their first year and will progress to years 2 and 3 of their PhD if their work is satisfactory. The studentship currently on offer at HWU pays for all tuition fees and a living allowance in the three year period. In addition, funding is available to cover expenses for travel to conferences and meetings with sponsoring companies. We aim to start the PhD between September and December at a mutually agreeable time. There is no closing date on this advertisement so it is recommended that you apply as soon as possible.

Further Information about the institute can be found at http://www.pet.hw.ac.uk and additional information on the project at http://www.pet.hw.ac.uk/research/shm/.

To apply for the PhD, please contact Dr. Karl D. Stephen (Karl.Stephen@pet.hw.ac.uk).