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 Venue

All sessions and events will take place at the DoubleTree Hilton Hotel Kuala Lumpur. Kindly contact the property directly to book your accommodation. For reservations please book directly here

Please click on the DoubleTree by Hilton Hotel Kuala Lumpur  to view the location.

Housing/Reservations

Please note that per SEG policy, travel expenses, visa and registration for the workshop will be the speaker’s responsibility.

SEG Meet and Greet Cocktail Reception

We are hosting our first ever Meet and Greet Cocktail Reception at Tosca, Double Tree Hilton Hotel Kuala Lumpur happening on 20th September, from 18:00 pm to 20:30 pm. Come and join us for a night of networking and gathering of like-minded people. To learn more, reach out to Aiswarya Manoharan.

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 and 1 panel sessions (2 days). We will aim for one keynote speaker per session 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.

Technical Program

DAY 1

Opening Session

  • Committee Co-Chairs Opening by Liau Min Hoe, PETRONAS & Reza Bekti, GeoSoftware
  • Opening Address by Sandeep Kumar Chandola, PETRONAS

Panel Session: Significance of Machine Learning and Innovative Workflows in Subsurface Characterization

  • Tariq AlKhalifah, KAUST
  • Aria Abubakar, Schlumberger
  • Matthew Lamont, Downunder Geosolutions
  • Thanapala Singam Murugesu, PETRONAS
  • Francois Bailard, Iraya Energies

Session 1: Data Conditioning I

  • Paul Webster (Shell) - Seismic Processing: Automating Parametrization*
  • Satyan Singh (Halliburton) - Semi-supervised random noise attenuation using a multi-discriminator Generative adversarial network and physics-driven data augmentation*
  • Mark Willis (Halliburton) - Das Zig Zag noise Attenuation using Generative adversarial networks*

Session 2: Data Conditioning II

  • Keynote Speaker: Tariq AlKhalifah (KAUST) - StorSeismic: Seismic processing ”dataset-centric” deep learning framework based on pre-training
  • Benfeng Wang (Tongi University) - Supervised high dimensional multi-step deblending*
  • Haoran Zhang (China University of Petroleum - Beijing) - Deep learning-based seismic resolution enhancement with a new domain adaptation paradigm*
  • Anu Chandran (Shell) - Augmenting finite difference propagation with deep learning*
  • Matthew Lamont (Downunder Geosolutions) - Full waveform imaging – A new era of autonomous seismic processing from field data

Session 3: Seismic and Well Interpretation I

  • Keynote Speaker: Xinming Wu (University of Science and Technology of China) - DeepISMNet: Three-Dimensional Implicit Structural Modeling with Convolutional Neural Network*
  • James Dirstein (Seisnetics) - A genetic algorithm to extract and reveal more features from 3D seismic data: example of the F3 block, offshore Netherlands*
  • Tannistha Maiti (DeepKapha.ai) - Automated Well to well boundary picking using CNN and Template matching*
  • Sami Elkurdy (Azimuth Geosolutions) - Machine Learning to Extract Petrophysical Properties from Seismic an approach with limitations*

DAY 2

Opening Session

  • Recap of Day 1 by Liau Min Hoe, PETRONAS & Reza Bekti, GeoSoftware

Session 4: Seismic and Well Interpretation II

  • Keynote Speaker: Aria Abubakar (Schlumberger) - Enhancing time-lapse subsurface monitoring through deep learning
  • Emily Collett (Halliburton) - Supervised Machine Learning for Assisted Well Interpretation*
  • Haibin DI (Schlumberger) - Enabling Interactive Seismic Interpretation via a dual-task CNN
  • Jie Qi (Geophysical Insights) - An integrated machine learning-based fault classification workflow*

Session 5: Applications

  • Keynote Speaker: Francesco Menapace (Shell) - Exploration Digitalization: learnings along the digital innovation journey at Shell*
  • Keynote Speaker: Pandu Devarakota (Shell) - Unsupervised Deep Learning Inversion Incorporating Bayesian Inference Through Physics-guided Neural Network for Uncertainty Quantification*
  • Carrie Laudon (Geophysical Insights) - Applying unsupervised multi-attribute machine learning for 3D stratigraphic facies classification in a carbonate field, offshore Brazil*
  • Jon Downton (GeoSoftware) - Predicting Unconventional Shale Reservoir Properties from Seismic and Well Data Using Convolutional Neural Networks*
  • Francois Bailard (Iraya Energies) - Data or report search and analysis/ AI Assisted Decision Making

Session 6: Seismic Inversion

  • Keynote Speaker: Andrew Long (PGS) - Physics-Guided Automated Subsurface Characterization*
  • Jan Limbeck (Shell) - AI based approaches for uncertainty management in the subsurface*
  • Tao Zhao, Schlumberger - Self-supervised seismic reconstruction for validating machine learning- based property estimation

* Speaker will be presenting virtually

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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