Call for abstracts NOW OPEN →
We are delighted to announce that the second annual Oil & Gas Machine Learning Symposium is open for abstracts. The 2018 Oil & Gas Machine Learning Symposium was a huge success as it hosted thought leaders from E&P companies, consulting firms, and large technology companies. This year’s Symposium will be even larger and more impactful. With a focus on geoscience, reservoir characterization, and technology, the Symposium will highlight developments in Machine Learning, Data Analytics, Cloud Computing, and the Industrial Internet of Things (IIoT). Together, technologies are enabling the Digital Transformation of the energy industry, starting upstream where hydrocarbons are found and monetized.
Join industry innovators on 30 October 2019 in Houston, Texas to share ideas, best practices, and key learnings in the development and application of machine learning technologies.
Data Analytics and
Machine Learning
IOCs and NOCs are adding data analytics teams to apply statistical, machine learning, and deep learning tools to all aspects of exploration and production, from seismic interpretation through reservoir engineering and production. Find out why these technologies are changing workflows and upending traditional interpretation methods.
Breakout Sessions
Start the day with a networking breakfast, followed by a series of talks by industry thought-leaders in the morning plenary session that extends through lunch. Then, engage with innovators in the afternoon breakout sessions on ML/Cloud Technologies, Machine Learning Applications, Reservoir Engineering, and the Future of Geoscience.
Networking Opportunities
Engage with other innovators and thought-leaders to exchange ideas and capture new ways to apply Data Analytics and Machine Learning to your business area. Meet leaders in the tech sector and across the energy industry who are pioneering the application of these new tools.
Stay in touch
Don't miss updates on the 2019 Machine Learning Symposium.
Hosting Sponsor
Platinum Sponsors
Media Partners
become a sponsor
Multiple sponsorship levels available, contact us for details.