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Artificially Intelligent Earth Exploration Workshop
Canadian Society of Exploration Geophysicists (CSEG)
Artificially Intelligent Earth Exploration Workshop
Event Details
Artificially Intelligent Earth Exploration Workshop: Teaching the Machine How to Characterize the Subsurface
23–26 November 2020 | Virtual Workshop
While it is challenging to translate all aspects of the physical workshop within a virtual environment, we are committed to providing our attendees a unique platform with an immersive event experience to maintain the same depth in knowledge-sharing, engagement and networking, in order to guarantee a comprehensive online experience. Like the physical workshop, the virtual workshop will follow the technical program components such as opening & keynote speech, presentations from industry experts, and moderated discussions. The platform offers an optimized and powerful webpage experience – from the comfort of your home or office:
- Stage: host all the presentations and discussions
- Floor: overall floor plan where you can see the workshop schedule, sponsors and arrange a meeting
- Lounge: attendees can grab a table and continue the discussions with 4 attendees on a table
- VIP Lounge: One-on-one meetings
- Live chat features for public discussion and Q&A
- Links to recorded presentations via SEG on-demand after the workshop
- Workshop Details
Artificial intelligence, and specifically machine learning, has become a powerful tool to address many of the challenges we face as we try to illuminate the Earth and make the proper prediction of its content. From image resolution enhancements, to fault detection, to horizon picking, the quest to teach our computing devices how to perform these tasks efficiently and accurately, as well as quantify the accuracy, has become a feasible and sought-after objective. Recent advances in computer power, machine learning algorithms, and the availability of the modules to apply such algorithms, have allowed the geoscientist to focus on the potential applications of such tools.
The objective of this workshop is to bring together interested individuals to share their experiences in applying machine learning algorithms in geoscience applications, especially applications related to the Oil and Gas sector. In addition, we’ll examine the various schools of thought in machine learning applications in the geoscience field to share advances and breakthroughs, highlight advantages and limitations, compare results, and debate emerging approaches in the world of artificial intelligence. What can we teach the machine, what can’t we teach it, and more importantly, what can it teach us?
The workshop will cover all related subjects that utilize machine learning to solve geophysical data analysis challenges in the Oil and Gas sector. This includes the application of machine learning methods in supervised, unsupervised, reinforcement, or any other method. Implementations may include numerous types of neural networks, like deep, feed-forward, convolutional, recurrent, GAN to the tasks solved by linear regression, SVM, and many other applications.
Organizing Committee
Committee Co-Chair: Tariq Alkhalifah, King Abdullah University of Science and Technology
Committee Co-Chair: Ali Almomin, Saudi Aramco
Committee Co-Chair: Ali Al-Naamani, Petroleum Development Oman
Ahmed Riza Ghazali, Petronas
Dimitri Bevc, Chevron
Elita Li, Singapore National Unviersity
Hussein Mustapha, Schlumberger
Khalid Obaid, ADNOC
Robello Samuel, Halliburton
Saud Zakwani, Petroleum Development Oman
Song Hou, CGG
Tahar Ben Youssef, CGG
Thekriat Hussain, Kuwait Oil Company
Tianyue Hu, Peking University
Umair bin Waheed, King Fahd University of Petroleum and Minerals
Xiangliang Zhang, King Abdullah University of Science and Technology
Yang Liu, China University of Petroleum
Yang Ping, BGP
Yike Liu, Chinese Academy of Science
Registration Categories
Single Day Pricing (1/2 day Workshop)
US$95 (member) | US$120 (non-member) | US$30 (student)
Early Bird Registration Fee (4 x 1/2 day Workshop) (expires 2 November 2020)
US$340 (member) | US$415 (non-member) | US$75 (student)
Full Registration Fee (4 x 1/2 day Workshop) (begins 3 November 2020)
US$415 (member) | US$490 (non-member) | US$90 (student)
Group Rates
5 Pax - Full Registration Fee (4 x 1/2 day Workshop) (begins 3 November 2020)
US$340 (member) | US$415 (non-member) | US$75 (student)
For Group and Student Registrations, please email aklerk@seg.org.
Cancellation Policy
Written notice received by 16 November 2020 entitles registrants to a full refund of the registration fee minus US$50 for processing. No refunds will be issued after 16 November 2020. Substitutions are permissible with written approval by the workshop organizers. Notify Anneke de Klerk at aklerk@seg.org immediately to request a substitution.
Who should attend?
Geoscientists, data scientists and engineers from industry and academia who have an interest in all related subjects that utilize machine learning to solve sub-surface data challenges in the Oil and Gas sector.
Contact
Anneke de Klerk
SEG Middle East
Telephone: +97143712710
Email: aklerk@seg.org
Canadian Society of Exploration Geophysicists (CSEG)
The objective of the Society is to promote the science of geophysics, especially as it applies to exploration, and to promote fellowship and co-operation among those persons interested in geophysical prospecting.
When
Monday, November 23 - 26, 2020
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