The 2018 Oil and Gas Machine Learning Symposium will host data scientists, geoscientists, engineers, asset managers and exploration managers at a world-class event to on 27 September 2018 at the Royal Sonesta in Houston, Texas. The symposium will explore developments and applications of AI and Machine Learning to upstream. Speakers include thought-leaders from companies that are pioneering these technologies, including Amazon, Anadarko, Geophysical Insights, IBM, Microsoft, Nvidia, Shell, Repsol, TGS, and others.
Representatives of Big Tech and Oil & Gas will share how machine learning, cloud computing, GPU computing, and the Industrial Internet of Things (IIoT) will re-shape how hydrocarbons are found and monetized. The event kicks off with a networking breakfast followed by a plenary session with an outstanding slate of speakers and topics, including:
John Adamick, SVP of Data and Analytics | TGS
Dr. Sumit Gupta, VP of AI and Machine Learning | IBM
Satyen Yadav, General Manager – Machine Learning | Amazon
Dr. Mauricio Araya, Sr. Researcher, Computer Science | Shell
Dr. Tom Smith, President/CEO | Geophysical Insights
Breakout sessions on Machine Learning Technology, Machine Learning Applications, and the Future of Geoscience will be available during the afternoon. And, an engaging panel discussion on The Impact of Machine Learning on Geoscientists and Engineers will follow the breakout sessions. A networking reception is the capstone of the event where speakers and attendees will have opportunities mix and to discuss the day’s presentations.
“We are very excited to have the Society of Exploration Geophysicists (SEG), the Geophysical Society of Houston (GSH), and the American Association of Petroleum Geologists (AAPG), along with other sponsors, to help champion and shape the future of Machine Learning in Oil & Gas,” said Dr. Tom Smith, President and CEO of Geophysical Insights. “Geophysical Insights is fully invested in the development of machine learning for interpretation, and we are delighted to help host this event for the industry.”
“The SEG is proud to support the 2018 Oil & Gas Machine Learning Symposium,” according to SEG President Nancy House. “While the SEG is hosting workshops worldwide, this event is an excellent complement to the SEG Annual Meeting in Anaheim 14-19 October 2018, and will be particularly appealing to the leadership of E&P companies who seek a better understanding of the benefits and challenges posed by Machine Learning in geophysical interpretation; acquisition design, and data processing to help shorten the cycle and enable geophysical technology to increase its application to E&P problems.”
Limited registration for the 2018 Oil and Gas Machine Learning Symposium is available at UpstreamML.com