Imperial College London


Faculty of EngineeringDepartment of Earth Science & Engineering

Research Associate







Royal School of MinesSouth Kensington Campus





At Imperial I am currently working on the Newton-funded "Smart GeoWells" project, focusing on the numerical prediction of optimal drilling strategies for extracting geo-thermal energy.  

Prior to this I worked on the "Fast Reactor Physics Modelling" project funded by HMS Sultan. The project investigated the application of reduced order modelling to problems in reactor physics.

My research interests span several areas including:
(1) reduced order modelling;
(2) calculating error bounds for parameters derived from computational homogenisation;
(3) investigating summation rules for the quasi-continuum method;
(4) error estimation and adaptive mesh refinement;
(5) meshless methods in geomechanics.



Xiao D, Fang F, Heaney CE, et al., 2019, A domain decomposition method for the non-intrusive reduced order modelling of fluid flow, Computer Methods in Applied Mechanics and Engineering, ISSN:0045-7825

Xiao D, Heaney CE, Fang F, et al., 2019, A domain decomposition non-intrusive reduced order model for turbulent flows, Computers and Fluids, ISSN:0045-7930

Xiao D, Heaney CE, Mottet L, et al., 2019, A reduced order model for turbulent flows in the urban environment using machine learning, Building and Environment, Vol:148, ISSN:0360-1323, Pages:323-337


Heaney C, Salinas P, Pain C, et al., 2018, Well Optimisation With Goal-Based Sensitivity Maps Using Time Windows And Ensemble Perturbations, European conference on mathematics of oil recovery

Salinas P, Jacquemyn C, Heaney C, et al., Simulation of enhanced geothermal systems using dynamic unstructured mesh optimisation, EAGE annual conference and exhibition

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