22nd April 2020
Machine Learning has seen explosive growth in recent years and its methods of learning from data are already widely applied across many areas such as life sciences, finance and social media. Driven by rapid developments in learning algorithms, advances in computing infrastructure and increasing amounts of data from which to learn, machine learning is also starting to play an increasingly significant part in hydrocarbon exploration and production.
Machine learning offers the promise of increased efficiency in areas like seismic interpretation and petrophysical analysis, and in understanding the avalanche of data produced by various digital sensors. It also holds the potential to analyse and extract value from the vast amounts of legacy data that through lack of resources
are currently left unused.
This conference is a platform for operators, service companies, software & hardware providers, and academia, to share real-world examples and lessons learned in delivering machine learning in the oil and gas sector. We will focus on the challenges of applying the technology and illustrate solutions that can deliver increased project efficiencies and valuable insight into oilfield data.
Specialists from leading companies will come together to exchange insights on the latest developments and new technologies in machine learning. Case studies and interactive panel discussions will enable delegates to benchmark against industry best practices.
*Limited concessionary tickets are available upon request
Download Machine Learning Conference Flyer
Call for Abstracts
Sponsorship opportunities are available and any offers will be gratefully received. These opportunities have been designed to suit all marketing strategies and budgets. Each opportunity will offer your company industry brand awareness at the event, with some offering additional exposure to the wider PESGB network.
If you would like to discuss the opportunities available, please contact email@example.com
Institute of Directors