Project Description
Supervisors
Dr Ian M. Watkinson, RHUL – Contact Me
Dr Graeme Nicoll, Halliburton
Dr Jean-Christophe Wrobel-Daveau, Halliburton
Project Background
To fuel the world’s appetite for electronics, batteries, solar panels and low-carbon technology the existing and often politically volatile sources of metals (including Li, Cu, Co, Ni) and rare earth elements need to be supplemented with new discoveries, perhaps equivalent in significance during the energy transition to the giant oil and gas fields that were being identified in the 1960s and 1970s.
Research Methodology
This project takes a global perspective and aims to understand the relationships between interconnected factors that control the formation and evolution of energy-critical resources – from formation to discovery. These factors include past and present plate velocities, tectonic/volcanic features, topography/paleotopography, climate/paleoclimate, crustal thicknesses, subducted slab parameters, mantle structure, seismicity, geology, geochemistry and many more. A 4-dimensional analysis of these variables will form the basis for a ‘geological rule book’ and ultimately a probabilistic model for resource development.
In collaboration with Halliburton’s energy-critical resource research team, this project builds on a global screening project (Wrobel-Daveau & Nicoll, 2022). It uses deep data mining and development of a global GIS database and applies statistical tests to understand inter-relationships between the geodynamic parameters at different plate margins. A model will be developed that predicts volcanic processes, chemistry and associated tectonics in deep time plate reconstructions. The model will be tested using known resource deposits and finally used to screen for and de-risk new exploration targets.
Training
The candidate will be trained in:
1) Data mining and management;
2) Advanced GIS analysis and associated statistical techniques;
3) The geologic, geodynamic and other processes that govern development of mineral resources;
4) Plate reconstruction methods, paleotopographic modelling and resource risking.
Person Specification
We seek an enthusiastic individual who holds a degree in Earth Sciences, Geography, Geographic Information Systems (GIS) or related subjects. Experience in GIS is desirable.