About
Clement is a researcher in inverse problems, applied math, high-performance computing (HPC), reservoir simulation and generative artificial intelligence (AI). He has a BS.c in Chemical Engineering from the University of Lagos, an MS.c in Petroleum Engineering from Robert Gordon University, Aberdeen, and a Ph.D. in Inverse Problems (with emphasis on reservoir simulation & machine learning) from the University of Manchester. His Ph.D. thesis titled “Structural and Shape Reconstruction Using Inverse Problems and Machine Learning Techniques with Application to Hydrocarbon Reservoirs", focused on reservoir history matching and was one of the pioneers in using ensemble-based data assimilation with unsupervised learning for reservoir characterization. In the course of his Post-doc in applied math at Oak Ridge National Laboratory Tennessee-USA joint with the Department of Mathematics, University of Manchester (UK)), he developed a novel general methodology, called CCR, for learning highly nonl…
Experience
Senior Solutions Architect - Energy
NVIDIA · Reading, England, United Kingdom
Solutions Architect - Energy
NVIDIA · Reading, England, United Kingdom
- Enable productivity & develop lasting relationships with partners, making Nvidia an integral part of end-user solutions. - Work with the latest HPC architectures & with machine learning & big data analytics, enabling improved workflows & developing new, differentiated solutions. - Inventing proof-of-concept demonstrations; engage with developers, scientific researchers, data scientists, IT managers & senior leaders. - Develop data science software & hardware technologies; perform in-depth analysis & optimization to ensure the best performance on GPU architecture systems. - Work directly with key customers to understand their technology & provide the best solutions; partner with engineering, product & sales teams to develop, plan the best suitable solutions for customers. - Enable the development & growth of product features through customer feedback & proof-of-concept evaluations. - Build industry expertise & become a contributor in integrating Nvidia technology into enterprise compu…
Machine Learning Engineer
Active Building Centre Research Programme · Sheffield, England, United Kingdom
- Job focus is on using several supervised machine and deep learning techniques for develop-ing surrogate models unique to the built and Civil sector. - Developed Gaussian processes for estimating surrogate models for large data sets with greater than 98% accuracy. - Developed accurate machine learning models for regression problems with greater than 98% accuracy using deep convolutional neural networks. - Used a combination of clustering, classification and regression algorithms to approximate a highly non-linear and discontinuous function with greater than 99% accuracy for predicting heating and cooling load. - Model Predictive Controller (MPC) based Machine Learning framework. Achieved an accuracy of greater than 97% and discomfort of 0.01C. - Developed surrogate models with convolutional neural network (CNN) for House image classification problem and achieved greater than 98% accuracy with application to House retrofit-ting and intervention
Postdoctoral Research Associate - Applied Mathematics
Oak Ridge National Laboratory · Knoxville, Tennessee, United States
Nov 2018 – August 2020: Postdoctoral Research Associate-Applied Mathematics/Machine Learning, UoM-Oak Ridge National Laboratory (ORNL)/ Department of Energy-USA (DoE) - Post-doctoral research focus is on using several supervised machine and deep learning techniques for developing surrogate models unique to fusion simulation data. - Developed Gaussian processes for estimating surrogate models for large data sets with greater than 98% accuracy - Developed accurate machine learning models for regression problems with greater than 98% accuracy using deep convolutional neural networks - Used a combination of clustering, classification and regression algorithms to approximate a highly non-linear and discontinuous function with greater than 99% accuracy. - Developed surrogate models with convolutional neural network (CNN) for image classification problem and achieved greater than 98% accuracy with application to facial recognition and feature extraction - Developed machine learning models for…
Visiting Researcher On Edinburgh Time-Lapse Project- 4d Seismic History Matching
Heriot-Watt University · Edinburgh, City of Edinburgh, United Kingdom
The goal of this Internship was focused on the history matching of the Norne reservoir by integrating 4D seismic data into the inversion process using machine learning techniques. During the internship, I developed a new integrated scheme for the reconstruction of petrophysical properties with a modified Ensemble Smoother with Multiple Data Assimilation (ES-MDA) in a synthetic reservoir is proposed. The permeability field inside the reservoir is parametrised with an unsupervised learning approach, namely K-means with Singular Value Decomposition (K-SVD). This is combined with the Orthogonal Matching Pursuit (OMP) technique which is very typical for sparsity promoting regularisation schemes. Moreover, seismic attributes, in particular, acoustic impedance, are parametrised with the Discrete Cosine Transform (DCT). This novel combination of techniques from machine learning, sparsity regularisation, seismic imaging and history matching aims to address the ill-posedness of the inversion of…
Research Techniques Demonstrator
The University of Manchester · Manchester, United Kingdom
I assist my PhD supervisor to teach Masters students in the Department of Chemical Engineering and Analytical Science, Research skills and methods which include writing a good proposal, abstract, academic paper and making a good academic poster
Reservoir Simulation Demonstrator
The University of Manchester · Manchester, United Kingdom
I teach 3rd-year undergraduate students(every 2nd semester) to carry out reservoir simulation using ECLIPSE/PETREL in preparation for their design project. I also assist my Ph.D. supervisor in teaching 3rd years fundamental reservoir engineering modules
Applied Mathematics Demonstator
The University of Manchester · Manchester, United Kingdom
I teach 3rd-year chemical engineering undergraduate students numerical optimization methods and inverse problems. Numerical optimisation techniques such as conjugate gradient, steepest descent, Adjoint techniques, Bisection method, Newton method, BFGS, Levenberg Marquardt, Line search techniques, Wolfe conditions, secant method, Golden ratio, Gauss-Newton and several other Quasi-Newton methods
Engineering Computation Demonstrator
The University of Manchester · Manchester
I teach the first year undergraduate students how to code in MATLAB and MS-EXCEL( visual basic)
Engineering and Applied Mathematics Demonstrator
The University of Manchester · Manchester
I teach 2nd-year Chemical Engineering undergraduate students integral calculus, complex integration, operator D methods for both integration and Differentiation and Laplace transforms
Treasurer, Society of Petroleum Engineers(Rgu Student Chapter)
Robert Gordon University · Aberdeen
Quality Assurance Quality Control Engineer
NNPC · Lagos
INCORPORATING THE ISO 9001 AND ISO 14001 INTO THE QMS AND EMS MATRIX
Piping Designer/Quality Assurance and Quality Control Engineer
NNPC · Lagos
Work summary: This project is mainly on the modification of the cellar deck of the Ubit GP Platform. The primary purpose of the project involves some demolitions of existing 3 tons monorail systems to be replaced with upgraded ones. A design for (SWL) of 5 tons capacity new monorail systems was carried out for subsequent installation. Furthermore we also checked the impact of the monorails replacement on piping to identify potential obstructions and constructability issues. Responsibilities: Generated the following QAQC deliverables: Reviewing HAZID and HAZOP in the course of the project Other task as assigned by supervisor as the project progress.
Quality Assurance Quality Control Engineer(Drilling)
ExxonMobil · Eket,Akwa-Ibom state
The Quality Assurance Engineer reports to the Project Manager for Project Direction and to the off project NETCO QHSE Manager for functional Quality Direction. He is the interface with SNEPCo on all issues relating to quality. I directed the project personnel in defining the Project Quality Management System. I was responsible for developing and maintaining this PQP and monitoring status and implementation of the project quality management system. Additionally, I was responsible for ensuring that these documents are maintained current throughout the life of the project. I conducted quality audits of all functions within the project team. i ensured that audit results are adequately documented and followed up, as necessary. My boss and I were the focal point to achieve ISO 9001:2008 project compliance. I was the project consultant for the interpretation of ISO 9001:2008 requirements as applied to the project. I was responsible for providing training of personnel on the QMS. The Quality A…
Drilling Engineer Intern
ExxonMobil · Qua-Iboe terminal Akwa-ibom state
Underwent the Plug and Abandonment Procedure of the Usari 7B well(directional drilling procedure) on the Noble ED noble rig Preparation of stick charts, well completion procedure and monitoring of drilling fluids procedure with MI-SWACO Detail study of drill bits, drilling technology, casing, primary casing cementing, directional drilling, hydraulics and bit technology Duration: September-November, 2008.; Upstream Unit
Education
The University of Manchester
Post-doctorate, Applied Mathematics
The University of Manchester
Doctor of Philosophy - PhD, Engineering Mathematics (Emphasis on: Inverse problems, reservoir simulation & machine learning)
Robert Gordon University
Master’s Degree, Petroleum Engineering (Thesis focus: Mathematical modelling & Drilling Engineering)
University of Lagos
Bachelor of Science (B.Sc.), Chemical Engineering (Thesis focus: Drilling mud engineering)
Kings College Lagos
West African Senior School Certificate Examination
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