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Julien Mouli-Castillo

PhD, MR.

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Personal profile


Currently involved in a hydrogen conversion project and an experimental wellbore stimulation project at the University of Edinburgh. Mid-term objective is a research position (industry or academia) focused on energy and geosciences providing him with learning and challenging experiences involving software development. Long-term objective is to develop a good reputation for the use of machine learning surrogate modelling techniques to better characterise complex geological systems to help decarbonise energy systems. Achieved a PhD on the study of Compressed Air Energy Storage in Porous Rock using Finite Element Method numerical modelling and surrogate models which resulted in very interesting findings published in Nature Energy ( He completed a MSc in Carbon Capture and Storage at the University of Edinburgh for which he was awarded a Distinction. Previously, First Class Honours Environmental Geosciences Bachelors degree at UCL.


01/09/2014 – 03/07/2018

Edinburgh, UK

Ph.D Geology and Geophysics – The University of Edinburgh

Passed with Minor Correction – Thesis: Assessing the potential for Compressed Air Energy Storage using the offshore UK saline aquifer resource. Supervisors: Dr Mark Wilkinson, Prof Stuart Haszeldine OBE, Dr Habil Christopher McDermott, Dr Dimitri Mignard, Prof Zoe Shipton.


02/09/2013 –27/11/2014

Edinburgh, UK

Distinction MSc in Carbon Capture and Storage –  The University of Edinburgh

Technical study of the CCS chain, and related political and economic challenges around CCS development. Scholarship & Award for best Program MSc Dissertation.


21/09/2009 – 01/08/2012

London, UK

First Class BSc in Environmental Geosciences –  UCL

Geology and Geography mainstream. First Class Honours degree, Dean’s list and Prize for independent fieldwork.


Research Interests

He is driven by progressing and transforming subsurface energy storage evaluations methods, by modelling porous rocks stores integrated to surface engineered systems, using state-of-the-art coupled processes research codes and Machine Learning. He strongly believes that the use of the subsurface has the means to offer affordable and secure storage of renewable energy. This reduces reliance on both fossil fuels and raw-material intensive alternatives (e.g. batteries). He also believes that promoting new subsurface uses to support the energy transition is key to retaining and attracting new talents to the field of Geosciences.

Other research interests include:

- Carbon Capture and Storage

- Hydorgen Storage

- Hydrogen Networks

- Geothermal Energy

- Synergistic approach to GeoEnergy systems


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