Dr Clement Etienam

Research Associate

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Overview

 

 

Qualifications

Clement has a masters in Petroleum Engineering (with distinction) from the Robert Gordon University,Aberdeen in 2014 and a PhD in Chemical Engineering (with emphasis on applied math and reservoir simulation) from the University of Manchester in 2018. He obtained his PhD under the supervision of Dr Rossmary Villegas, Dr Masoud Babaei and Dr Oliver Dorn

Memberships of committees and professional bodies

Europen Association of Geoscientist and Engineers(EAGE)

Society of indusrial and applied mathematics (SIAM)

Society of petroleum engineers(SPE)

Institute of pure and applied mathematics (IPAM)

Keywords

  • Reservoir History Matching, Data Assimilation, Machine Learning, deep learning ANNs, Uncertainty quantification, Inverse problems, Ensemble Kalman filter, Supervised learning, high performance computing, Non-convex optimisation, imaging science, Unsupervised learning, Python, MATLAB, C++, C, FORTRAN 90, Software, Eclipse, Petrel, Microsoft office, NumPy, Keras, TensorFlow, XGboost, OpenCV, Scikit-Learn, Matplotlib, SciPy, Theano, Ubuntu, LaTeX, Pandas, PyTorch, PyMC, CNN, NLP, Computer-Vision, Markov-chain Monte Carlo, Artificial Inteligence

Education / academic qualifications

  • 2019 - Doctor of Philosophy, Structural and Shape Reconstruction using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs, The University of Manchester (2015 - 2018)
  • 2014 - Master in Science, Dynamic modelling for Haptic Feedback in Well Drilling Operations, The Robert Gordon University (2013 - 2014)

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