Qatari Advanced Simulations for Reservoirs (QASR) research group at HBKU is currently recruiting a postdoctoral researcher in the area of uncertainty quantification, history matching, and machine learning. The ongoing research aim is to develop new uncertainty quantification framework for hydrocarbon carbonate reservoirs. This position is with partnership with Heriot-Watt University and Stanford University.
Qatar is considered one of the largest emitters for CO2 per capita in the World, one solution is to reinject the emitted CO2 in sub-surface hydrocarbon reservoirs for enhanced oil recovery.
Example areas you might work in include: • Assisted history matching using stochastic optimisation • Optimisation of field development choices using computer science algorithms • Uncertainty quantification using Bayesian inference • Carbonate / fracture reservoir geological modelling • Working and collaborating with our partners’ development teams in Qatar and around the world.
The successful candidate will be working under the guidance of Dr. Ahmad Abushaikha and Prof. Vasily Demyanov (Heriot-Watt University).
Applicants should have a Ph.D. in an Engineering / Science field. A candidate should have an extensive knowledge in the following areas: • Reservoir simulation • History matching • Field development • Stochastic optimization algorithms • Geomodelling, including geostatistics • Computational skills with programming languages, e.g. Matlab, Python
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