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  Integrating multiscale pore structure of heterogeneous porous media from micro scale to higher scale


   School of Engineering

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  Dr K Wu  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Most of the subsurface materials, such as reservoir rocks, soils and other porous media are highly heterogeneous and many of them contain a complex pore structure with a wide range of length scales. Meanwhile, quantifying heterogeneity of subsurface is an essential component of reservoir characterization process and environmental risk assessment, which is the key to run a three-dimensional geological and fluid flow simulation models. Hence, the creation of a multiscale model to quantitatively characterize such heterogeneous porous media and predict representative multi-phase flow properties is an important step to reduce the uncertainty from sample size scale to field scale. Multiscale pore scale models of the porous media are essential for such research. Apart from the basic understanding of the physics of flow processes, this has also enormous practical importance in terms of improving uncertain estimates of recovery efficiency on larger scales.

One of the main objectives of pore scale physics research is to predict macroscopic petrophysical properties from the underlying microstructure. For heterogeneous porous media materials (e.g., carbonates, soils, inhomogeneous sandstones, unconventional rocks etc.), a comprehensive description of the real pore structure may involve many decades of length-scales (e.g., from sub-micron to cm), which cannot be captured by a single-resolution mCT image. The proposed research is aimed at developing a comprehensive model to represent the real pore structure may involve many decades of length-scales. The combination of multiscale image modelling with multiscale pore network has the potential to provide an efficient way to accommodate such multi scale heterogeneity of the subsurface system.

Essential Background: Equivalent of 2.1 Honours Degree in Engineering, Physics, Mathematics or Computing Science

Knowledge of: programing and mathematics, image processing or network modelling would be advantageous

Funding Notes

The successful applicant will be expected to provide the funding for Tuition fees, living expenses and maintenance. Details of the cost of study can be found by visiting www.abdn.ac.uk. There is NO funding attached to this project. You can find details of living costs and the like by visiting http://www.abdn.ac.uk/international/finance.php.

References

This project is advertised in relation to the research areas of the discipline of Petroleum Engineering . Formal applications can be completed online: http://www.abdn.ac.uk/postgraduate/apply. You should apply for PhD in Engineering, to ensure that your application is passed to the correct College for processing. Please ensure that you quote the project title and supervisor on the application form.

Informal inquiries can be made to Dr K Wu (kejian.wu@abdn.ac.uk) with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Graduate School Admissions Unit (cpsgrad@abdn.ac.uk).

Where will I study?