Artificially Intelligent Earth Exploration Workshop: Teaching the Machine How to Characterize the Subsurface

22–24 November 2020 | Muscat, Oman

ADVERTISEMENT

Our advertisers help SEG provide services to our customers. Please consider unblocking ads for our site.

Important Announcement: Change in Workshop Date

About

22–24 November 2020
Muscat, Oman

Due to the ongoing global health concerns of the COVID-19 virus, the ‘AI Earth Exploration Workshop: Teaching the Machine How to Characterize the Subsurface’ is rescheduled to 22–24 November 2020. We appreciate your continued support and understanding. Please do not hesitate to email Anneke de Klerk for any further questions.

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

Contact

Anneke de Klerk
SEG Middle East
Telephone: +97143712710
Email: [email protected]

Attend

Registration Categories

Registration fee includes: Coffee breaks (during meeting), Lunches (Sun – Tue), and Icebreaker on Sunday

Early Bird Registration Fee (expires 21 October 2020)
US$1150 (member) | US$1,350 (non-member)

Full Registration Fee (begins 22 October 2020)
US$1250 (member) | US$1,450 (non-member)

Student Registration Fee
US$340

For Student Registration, please email [email protected].

Cancellation Policy

Written notice received by 21 October 2020 entitles registrants to a full refund of the registration fee minus US$50 for processing. No refunds will be issued after 21 October 2020. Substitutions are permissible with written approval by the workshop organizers. Email Anneke de Klerk at [email protected] immediately to request a substitution.

Workshop Schedule

Sunday, 22 November
Registration; Morning and afternoon sessions; Icebreaker

Monday, 23 November
Morning and afternoon sessions

Tuesday, 24 November
Morning and afternoon sessions

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.

Workshop Format

The format of the workshop will feature presentations by invited key experts who will share their experiences. The workshop will serve as a unique opportunity to have open and extended discussions among the participants.

6 sessions (3 days): The workshop features at least one keynote speaker per session with the closing session at the end of the workshop to serve as the outlook going forward. The oral presentations are made up of 20 minutes’ talk time and after each session a one hour discussion session is planned. The objective of this session is to allow participants to discuss in detail and learn from each other what has worked for them, and to debate on issues and challenges facing them during their daily workflows. Session chairs will also serve as discussion leaders during the one hour session.

Poster Presentations

Poster presenters will get the opportunity to introduce their topics on stage for two minutes. This will take place at the beginning of the allocated poster session before they present to the delegates. Additionally, the posters will be displayed for viewing and discussion during coffee breaks and the afternoon free time after each session.

Workshop Venue

Crowne Plaza, Muscat, Oman

Housing/Reservations

Rooms have been reserved for the following rate at Crowne Plaza, Muscat, Oman:

  • Single occupancy – OMR 90.00 net per room per night with Bed & Breakfast (approx. US$234)
  • Double occupancy – OMR 100.00 net per room per night with Bed & Breakfast (approx. US$260)

Check back soon for updated deadline regarding group rate discount.

Visa Information/Invitation Letter

Workshop participants may generate an official invitation letter from SEG. For Oman visa requirements, check your eligibility and apply for e-visa. Please note, SEG does not guarantee that you will be granted a visa, nor does it commit SEG to pay any expenses you may incur. It is the sole responsibility of the attendee to obtain the necessary paperwork for entry to Oman.

Pre-workshop Course

Join us for the pre-conference workshop and gain insight into deep learning!

Short Course on Deep Learning with Application to Seismic Data 
Date TBD | Muscat Oman

Postponed to Q4 2020 due to COVID-19 coronavirus concerns. New dates to be confirmed shortly.

The importance of deep learning has now been demonstrated in many different domains. This short course is to introduce the most popularly used deep learning models and to offer hands-on training to the workshop participants who are interested in deep learning applications in exploration geophysics. We target audience with little knowledge about machine learning. The course will help them understand the general principles of these models and also their limits. Applications to natural language processing, computer vision and geoscience will be provided for illustrative examples.

Technical Program

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.

Technical Topics

  • Big Geo-Data
  • Processing and Analysis
  • Intelligent Velocity Model Building
  • Reservoir Geomechanics and Well Logging
  • Automated Seismic Interpretation
  • Smart Reservoir Characterization

Speakers

Opening Address by Petroleum Development Oman and Saleh Saleh, Saudi Aramco

Keynote Speakers

  • Steve Freeman, Schlumberger
  • Mauricio Araya Polo, Total
  • Maarten de Hoop, Rice University
  • David McCarthy, CGG
  • Lizhi Xiao, China University of Petroleum
  • Aria Abubakar, Schlumberger
  • Stephane Gesbert, Shell
  • Daniele Colombo, Saudi Aramco

Sponsorship Opportunities

To maximize exposure and visibility for our partners, we offer an array of unique sponsorship opportunities designed to suit a range of budgets with specific target audiences for optimum return on investment. For a list of sponsorship opportunities and an application form for sponsorship, see the Sponsorship Packet in the Important Documents section of this page, or contact us at [email protected] for additional information.

Register now

Important Dates

Early bird savings end:
21 October 2020

Call for Abstracts closed:
20 January 2020

Back to Top

This website uses cookies. If you continue without changing your browser settings, you consent to our use of cookies in accordance with our cookie policy. You can disable cookies at any time. Learn more

We also use partner advertising cookies to deliver targeted, geophysics-related advertising to you; these cookies are not added without your direct consent.

 

8801 S. Yale Ave. Suite 500
Tulsa, OK 74137
Phone: 918-497-5500
Email: [email protected]

CONNECT with us

Don't miss a thing.

Visit your SEG Communications Center to update your communications preferences.

Don't have an SEG account? It's free to create one - and you don't have to be an SEG member.

Twitter facebook linkedIn instagram youtube
Featuring bonus content!