Prof C MacBeth, Dr H Amini
No more applications being accepted
Funded PhD Project (Students Worldwide)
About the Project
The topic of Seismic Geomechanics aims to link time-lapsed seismic data to complex geomechanical effects in the subsurface arising from hydrocarbon production. This can be used to infer risk in the overburden or productivity in the reservoir. In this project we aim to continue our previous efforts established by a long list of previous students: Hall and MacBeth (2001), Hodgson and MacBeth (2006), Corzo et al. (2010), Garcia and MacBeth (2012), and Wong et al. (2017). The challenge is to dramatically improve our current definition of the tensorial components of the stress/strain field generated by reservoir production using inversion and modelling, guided by the study of several industry datasets. This will involve investigation of post-stack time-shifts and possibly pre-stack time-shift data. It is possible that additional non-seismic data such as subsidence, 4D gravity or microseismic may be incorporated in support of geomechanical measurements.
The ETLP research team has eighteen years of experience in quantitative 4D seismic interpretation and is funded by a number of oil, energy and service companies. For more information on our activities please visit our website: www.pet.hw.ac.uk/research/etlp. You will work on innovative techniques to analyse industry data supervised by Professor Colin MacBeth and Dr Hamed Amini.
Funding Notes
This is a full scholarship which will cover tuition fees and provide an annual stipend of £14,553.
This scholarship is available to UK, EU and overseas candidates.
The successful candidate should have a strong interest in applied research and possess a masters and undergraduate degree in geophysics, physics, earth science, petroleum engineering or similar field. Four years of university study including a minimum of one year at an advanced level are required. Programming skills are essential, whilst some experience in poroeleasticity, fluid flow simulation and seismic processing is desirable. Experience working in industry is an advantage but not a necessity.
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