Early Bird Registration Opens on
March 27th, 2020
Frequently Asked Questions
Have an unanswered question? Contact us at the bottom of the page for additional support.
Who should attend?
Anyone who wants to know more about the business and technical impact of Data Analytics, Cloud Computing, Machine Learning and the Industrial Internet of Things (IIoT) will benefit. This event is particularly helpful to data scientists, engineers, geoscientists, and managers who want to learn more about these emerging technologies.
How will I benefit?
The symposium provides numerous opportunities to explore the current state of technologies, hear application case studies, and see directions these new technologies may take the industry. Participate in the morning plenary session and hear executive leadership of technology and energy, enjoy lunch and an insightful talk on the application of Machine Learning to seismic interpretation, then attend several breakout sessions in the afternoon. A networking reception will follow the afternoon breakout sessions.
Are there any discounts available?
Yes, the Oil & Gas Machine Learning Symposium offers an early bird discount which begins on 27 March 2020 in addition to group discounts.
Do you offer bulk ticket purchase discounts?
Yes. Group bundles are offered at discount rates, you may find them directly in the registration checkout. If you would like to purchase your group tickets individually but still receive the discounted price, please email [email protected] for a unique group discount code.
How do you accommodate special dietary restrictions?
On the registration form, there is a place to indicate food allergies and dietary preferences. Please make us aware of any restrictions you have at that point and we will accommodate these.
Are tickets transferrable?
If you are unable to attend, please notify support at [email protected] at least seven  days before the scheduled event for assistance. Complimentary tickets are not transferable for any reason.
What is your refund policy?
Refunds will be provided up to seven  business days before the symposium.
Become a Sponsor
Gain valuable brand awareness and recognition as a leading company in data analytics and machine learning in the upstream. Sponsorships available at several levels. Contact us for more information.