2nd Edition Artificially Intelligent Earth Exploration:
Between Expectations and the Current Situation

30 Nov - 2 Dec 2021 | Virtual

Announcing the Digital Intelligence Series covering two important workshops in one destination - embark on your Digital Transformation journey with us! Register for the series — or this workshop — before 10 November and save!

About

30 Nov - 2 Dec 2021
Virtual

The Digital Intelligence Series:

The SEG Digital Intelligence Series will foster your Digital Transformation of geoscience practices to enhance value creation with two strong knowledge-exchange programs at the:

The 2nd Edition Artificially Intelligent Earth Exploration Workshop | 30 November–2 December

The High Performance Computing & Software for Exploration and Reservoir Development | 6–8 December

Attendees will get the unique experience to take advantage of the two strong programs and multiple speakers from across the globe to enhance their skills with the ongoing digitization.

The main goals of High Performance Computing workshop are to leverage the latest algorithms and to improve the traditional ones on rapidly evolving compute technologies. The workshop will enable all participants to get acquainted with the very latest advances in HPC architectures and how these may be applied in geoscience applications used in the oil and gas industry. Learn more about the High Performance Computing workshop

About Artificially Intelligent Earth Exploration

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. With respect to neural network models used in earth exploration, we want, in this workshop, to assess how accurate, flexible, portable are these trained models, and more importantly, were they worth the cost? In other words, are we meeting the high expectations or are we getting a dose of reality?

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, fully-connected, convolutional, recurrent, GAN to the tasks solved by linear regression, SVM, and many others.

Technical 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

  • Abeer Al-Abdullatif, Halliburton
  • Ahmed Sabry, Schlumberger
  • Bilal Saad, Baker Hughes
  • Dimitri Bevc, Chevron
  • Elita Li, Purdue University
  • Hussein Mustapha, Schlumberger
  • Jiajia Sun, University of Houston
  • Khalid Obaid, ADNOC
  • Nicolas Leseur, G42
  • Saud Zakwani, Petroleum Development Oman
  • Song Hou, CGG
  • Tahar Ben Youssef, CGG
  • Tianyue Hu, Peking University
  • Umair bin Waheed, King Fahd University of Petroleum and Minerals
  • Yang Liu, China University of Petroleum

Contact

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

Attend

Registration Rates

Please contact [email protected] for the below:

  • For Group Registration of 5 and more attendees
  • For Student Registrations (please note, all student non-members must submit a copy of their student ID to [email protected] to register for the event)

Individual Workshop Rates:

Early Bird Registration Fee (3 x 1/2 day Workshop - must be registered and paid before 10 November 2021)
US$450 (member) | US$550 (non-member) 

Full Registration Fee (3 x 1/2 day Workshop - begins 11 November 2021)
US$510(member) | US$610 (non-member) | US$75 (student member) | US$100 (student non-member) | US$210 (academia member) | US$255 (academia non-member)

Digital Intelligence Series Rates:

Attendees will get the unique experience to take advantage of the two strong programs and multiple speakers from across the globe to enhance their skills with the ongoing digitization.

The 2nd Edition Artificially Intelligent Earth Exploration Workshop 30 November–2 December

The High Performance Computing & Software for Exploration and Reservoir Development 6–8 December

Register for the series and get access to both the above 2021 SEG Workshops.

Early Bird Registration Fee (3 x 1/2 day Workshop - must be registered and paid before 10 November 2021)
US$675 (member) | US$825(non-member) 

Full Registration Fee (3 x 1/2 day Workshop - begins 11 November 2021)
US$765(member) | US$915 (non-member) | US$100 (student member) | US$150 (student non-member) | US$320 (academia member) | US$365(academia non-member)

Click here to register for Digital Intelligence Series

Written notice received by 15 November 2021 entitles registrants to a full refund of the registration fee minus US$50 for processing. No refunds will be issued after 15 November 2021. Substitutions are permissible with written approval by the event organizers. Notify Anneke de Klerk ([email protected]) 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.

Technical Program

Learn first-hand from the experts:

Opening Address

  • Opening Address by Aiman Bakhorji, Saudi Aramco
  • Opening by Hassan Barwani, Petroleum Development Oman

Keynote Presenters

  • Haibin Di, Schlumberger
  • Jianwei Ma, Peking University
  • Tarry Singh, deepkapha.ai
  • Weichang Li, Aramco Americas
  • Yang Liu, China University of Petroleum

Technical Sessions 

  • Deep Learning in Geoscience
  • Denoise and Multiple Attenuation
  • Image Enhancements and Improved Resolution
  • Velocity Analysis and Inversion
  • Interpretation and Picking
  • Seismic Attributes
  • Seismic Inversion
  • Well Logging and Formation Evaluation
  • Poster Session

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 benefits, please contact us at [email protected].

Register Now

Important Dates

Early Bird Registration Deadline:
10 November

Call for Abstracts closed:
30 September 2021

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