[aapgRazor:PageDescription(ArticleID=[Get:ArticleID])]

art

regnow


app link


mobile regnow

mobile app link

Text/HTML

program book link

ACE2020 Technical Program and Registration Announcement

contacts section header

Contacts

TabB-2 Contacts

AAPG Technical Programs Coordinator +1 918 560 2641
/Portals/0/PackFlashItemImages/WebReady/duncan-terri.jpg?width=75&quality=90&encoder=freeimage&progressive=true 10092 Terri Duncan

ace dfp adblock

ace informz

Subscribe now to receive valuable updates, important dates and deadlines from ACE

All fields required
Subscribe Me!

page content

Where Should Machine Learning Go (and Not Go)?

Tackle the Issues

Thursday, 1 October 2020, 10:00 a.m.–11:45 a.m.  |  Houston, Texas

short course image

The experts will make you think in these 15-minute presentations by change agents who have a story to tell. The sessions will not be moderated and will conclude with an interactive audience Q&A.

Machine Learning and Deep Learning are revolutionizing the practices involved in reconnaissance exploration, drilling, completions, and production. But, with all the advances and advantages, there remain a number of challenges and persistent questions. Join us to listen to issues and participate in discussions. 

Speakers:

  • Sashi Gunturu, Petrabytes
  • Lian Peiqing, Sinopec
  • Kathy Ball, Aramco Service Company
  • Renato Cerqueira, IBM
  • Patrick Ng, Real Core Energy
  • Alec Walker, DelfinSia, Inc

Fee:

Included with registration

Chairs:

Patrick Ng, George Danner

Venue

Where Should Machine Learning Go (and Not Go)?
George R. Brown Convention Center
1001 Avenida De Las Americas
Houston, Texas 77010
United States
(713) 853-8000