Night School – Essential Data Science for Petroleum Geoscientists and Engineers – 2021 edition (Virtual Course) SOLD OUT

Please contact events@pesgb.org.uk to be added to the waiting list for this course

About this course
Interest in data science and machine learning is rapidly expanding, offering the promise of increased efficiency in E&P, and holding the potential to analyse and extract value from vast amounts of under-utilised legacy data. Combined with petroleum geoscience and engineering domain knowledge, the key elements underlying the successful application of the technology are: data, code, and algorithms. This course builds on public datasets, code examples written in Python, and algorithms from popular data science packages to provide a practical introduction to the subject its application in the E&P domain.

Part 1
Facilitator: David Psaila
Date: Thursday 18th February 2021
6:00pm – 8:00pm

Part 2
Facilitator: David Psaila
Date: Thursday 25th February 2021
6:00pm – 8:00pm

Part 3
Facilitator: David Psaila
Date: Thursday 4th March 2021
6:00pm – 8:00pm

Part 4
Facilitator: David Psaila
Date: Thursday 11th March 2021
6:00pm – 8:00pm

What you’ll learn
The course comprises a mix of lectures and hands-on computer workshops. You’ll gain a basic working knowledge of coding in Python and the use of a toolset for importing, visualizing and building models from data. You’ll also gain a powerful working environment for data science on your laptop, which together with code examples provided by the course will give you a jump start to applying the techniques you’ll learn to your own projects.

Who should attend?
This is an introductory course for reservoir geologists, reservoir geophysicists, reservoir engineers and technical staff who want to learn the key concepts of data science and its application to E&P data. By developing your data science skills you’ll be better equipped to analyse your project data, build predictive models and apply them in your workflows. You’ll also be able to evaluate and ask the right questions about the models created by others, be they in-house data science specialists or external partners.

To access member-only events or to benefit from the reduced member fees please visit https://www.ges-gb.org.uk/membership/ to find out how to become a PESGB member.

David Psaila has over 20 years experience in the oilfield services industry, developing technology for reservoir geophysics, geostatistics, reservoir modelling, data analysis, and machine learning. He has experience developing and teaching training courses on technical subjects including reservoir geostatistics and stochastic seismic inversion. David has extensive worldwide experience of reservoir studies including quantitative time-lapse interpretation, pore pressure prediction, and stochastic seismic inversion. He holds a degree in Geology from the University of Oxford and a PhD in Geophysics and Geostatistics from the University of Leeds.