PLUS: Focus Day on Predictive Maintenance in Oil & Gas
JW Marriott Houston by The Galleria, Houston, TX
The 5th Annual Machine Learning in Oil and Gas Conference will include deep-dive informative case studies from oil and gas companies, technology passionate keynotes, interactive panel sessions designed to meet the needs of those on the business and IT side of the Machine Learning.
The conference illustrated the power and opportunity the technology of Machine Learning has in oil and gas.
Graeme Gordon of Hess presented a session on the “Wells to Watch” application which was a standout session that more than adequately illustrated the power and reach of Machine Learning.
Repsol's German Larrazabal explored the geophysical applications of Machine Learning and spoke to how the technology simplifies his job and produces more accurate results.
Pioneer Natural Resources, Chevron, NOV and Halliburton all spoke on the absolute importance of cultivating new and existing talent to fill the need for more and more data driven position within their work forces.
The key take-away from the event?
There are boundless opportunities for optimization of current processes and Machine Learning is finding those opportunities.
The 2020 Machine Learning in Oil & Gas Conference will see an even greater number of real-world practical applications. Oil and Gas leaders now deploying Machine Learning models at scale, the 5th iteration of this renowned event will focus on how early adopters are gaining an edge - at the expense of slower moving competitors.
This is a rare opportunity to sidestep the hype and discover how budding technologies can be applied into practical and profitable Machine Learning that you can implement in your company today.
Attend Machine Learning in Oil and Gas to
Learn how the top oil and gas producers are using ML and data to solve business challenges
Benefit from interactive discussions and the opportunity to problem-solve with data scientists
Understand how to use deep neural networks for image recognition, NLP and text-based sentiment analysis
Rethink company strategies in the age of AI and Machine Learning
Take predictive analytics to the next level - strategies for adding AI to your analytics toolbox
Listen to 40+ speakers
2020 Attending Companies Include
Predictive Maintenance and Reliability in Oil and Gas | November 11th
This pre conference briefing day is designed to give in-depth insight into one of the most mature applications of machine learning in the oil and gas industry.
Superfluous scheduled maintenance and damaging unscheduled down time are two of the biggest preventable expenses for many oil and gas operations, especially in more remote areas.
The digitalization of the oil and gas industry has created new intelligent solutions to these issues through a combination machine learning, edge computing, IoT, drones and advanced analytics.
Register now to learn how technology has helped shift maintenance from reactive to proactive and how these solutions could save your operations money, time and human resources.
Terms and conditions Payment by invoice will incur a $50USD administration fee Payment Terms Payment is due in full by credit card upon completion of this registration form. By completing this registration form you agree to Energy Conference Network charging your credit card for the amount stated above and you agree to pay Energy Conference Network the price in order to secure your conference ticket. Your registration will not be confirmed until payment has been made by credit card and cleared funds are received in full. Admission to the conference will be refused if payment has not been received. Cancellation and Substitution Policy Cancellations must be received in writing and we do not offer refunds once payment has been made. If the cancellation is received more than 14 days before the conference, attendees will receive a full credit to a future conference. Cancellations received 14 days or less (including the fourteenth day) prior to the conference will be liable for the full fee. A substitution from the same organization can be made at any time in writing at no extra charge. If Energy Conference Network cancels a conference, payments received at the cancellation date will be credited towards attendance at a future conference or in the event of postponement by Energy Conference Network, towards the rescheduled date. Credit notes remain valid for twelve months. Changes to Conference and Agenda Energy Conference Network reserves the right to postpone or cancel an event, to change the location or alter the advertised speakers for an event. Energy Conference Network is not responsible for any loss or damage as a result of substitution, alteration, postponement or cancellation of an event due to causes beyond its control including without limitation, acts of God, natural disasters, sabotage, accident, trade or industrial disputes, terrorism or hostilities. In the event that a conference is cancelled, Energy Conference Network is not liable for any costs incurred by delegates in connection with their attendance. Occasionally it is necessary for reasons beyond our control to alter the content and timing of the program, venue or the identity of the speakers without any liability to the delegates. Changes to the agenda will be updated on our website as soon as possible.
For questions regarding registration email us by clicking HERE.