Artificial Intelligence for Subsurface Characterization: Advances, Pitfalls, and Limitations

20–21 September 2022 | Kuala Lumpur, Malaysia

About

20–21 September 2022
Kuala Lumpur, Malaysia

Workshop Details

In the last few years, our industry has made significant progress in adoption of computational sciences to create fundamentally transformative ways of working.

As we continue this journey, this workshop will provide a platform for industry professionals and academia to share their knowledge and experiences on application of new technology for subsurface characterization and reservoir development. We aim to put up a programme covering the insights from successes of the applications to pitfalls as well as anticipated advances that impact our approach toward exploration, development and production.

  • A platform for industry professionals to discussion and share knowledge on artificial intelligence (AI) applications, including machine learning (ML) and deep learning (DL), related to subsurface characterization
  • Workshop to include discussion on current state of ML/DL in the industry, success stories, pitfalls, future of AI, including the research currently being undertaken in academia
  • Moving forward, what’s in the pipeline and what advances are expected?
  • Limitations, pitfalls, managing expectations of machine learning
  • Sub-surface risk mitigation and evaluation
  • Reducing risk of production levels and optimizing production
  • Big data, data driven, knowledge driven, advancement in research and academia
  • Computational advances, cloud computing, AI Solutions to subsurface evaluations

Organizing Committee

  • Committee Co-Chair – Liau Min Hoe, PETRONAS Exploration
  • Committee Co-Chair – Riddhi Tody, Microsoft

Committee Members

  • Abdul Halim Abdul Latiff, Universiti Teknologi PETRONAS
  • Ehsan Naein, Earth Analytics
  • Gautam Kumar, Shell India
  • Hai-Yang Wang, ExxonMobil
  • Ivan Zhia Ming Wu, Halliburton
  • Jesse Baker, ConocoPhillips
  • Kannitorn Adisornsupawat, PTTEP
  • Makky Sandra Jaya, PETRONAS Research
  • Rajiv Kumar, Schlumberger
  • Reza Bekti, Geosoftware
  • Tianyu Hu, Peking University
  • Yan Liu, China University of Petroleum

Contact

Suba Jaganathan
SEG Asia Pacific
Telephone: +6014 323 8107
Email: [email protected]

Attend

Who should attend

The target participants include (but are not limited to):

  • Energy industry players – energy companies, research centers, solution providers
  • Academia
  • Students
  • Subsurface organizations
  • IT industry (cloud and computing)

Workshop Format

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

6 sessions (3 days). We will aim for one keynote speaker per day with closing session at the end of the workshop to serve as outlook going forward. The Oral presentations are made up of 15 min talk followed by 5 minutes of Q&A. After each session 30 minutes discussion session will be planned. The objective of this session is allow participants to discuss in details and learn from each what has worked for them and debate on issues and challenges facing them during their daily workflows. Session chairs will also serve as discussion leaders during the 30 minutes.

Poster Presentations are also welcome to give ample time to the delegates to discuss the poster topic with the author(s). Posters will be in displayed in the workshop room.

Call for Abstracts submission deadline: 20 May 2022

Submit your abstract to [email protected]

We invite abstracts for the following topics – oral and posters:

  • Geophysical characterization, i.e. seismic acquisition, processing, structural interpretation, facies and fluid determinations, QI
  • Geology characterization, i.e. well logs interpretation, facies determination, correlations
  • Data or report search and analysis
  • Production, engineering applications
  • Physics driven machine learning
  • AI assisted decision making
  • Uncertainties quantification and risk mechanism
  • Domain and transfer learning

Abstract Format

Max two-page abstract + one figure, single column

Abstracts should include sufficient detail for the committee to judge the quality of the paper. Abstracts should be a minimum of 1 page, text plus 1 figure (optional), with a maximum of 2 pages. Abstracts should be on A4 paper or 21 x 29.7 cm paper size, text in Times New Roman font (12 font size), and include both text and figures.

The title should be one or two-lines at the top of the page, in 12-point bold font. Authors should be listed just below the title in 10-point italic font. All text must stay 1 inch clear of the margins of the page. Submissions should be in Adobe Acrobat PDF format.

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, email [email protected]

Register now

Important Dates

Early Bird Registration closes:
19 August 2022

Call for Abstracts closed:
20 May 2022

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