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FEB 17-18 2021 II DIGEX.NO




Digital technology is enabling the oil & gas industry to completely change the way geoscientists work, how it impacts our daily jobs and the possibilities that comes with it.


You get concrete examples on how companies are embracing the possibilities within this emerging domain and how they are changing their workflows and approach to the entire value chain from a subsurface perspective.

For whom?

Geoscientists working within the subsurface domain in the oil & gas industry.
- Oil companies
- Service companies
- Authorities
- Research and educational institutions





In the Cloud

Human & Geoscience Integration

Case Studies

Call for Papers

We are now accepting abstracts for #DIGEX 2021 - Exploration & Production

The Road to AI - Energizing the Domain Experts

Technology - Workflows - Geoscientists - Data

The groundwork in digitalization in oil, gas, and energy has already been done by a few notable industry innovators, but more companies are joining the revolution and have started their own digital transition by venturing into the world of cloud platforms, interactive visualizations, analytics, and predictions by applying the first ML algorithms to their datasets. Richer datasets and new workflows - together with ML and AI - have a massive potential to positively influence exploration and production in oil and gas.

Yet, there are many unresolved problems and challenges, and the next phase within digitalization requires the involvement and ownership of domain experts.

We are told that geoscientists will be empowered by data and machines. But what are the benefits, challenges, pros, and cons, and are there workflows more optimal for empowerment than others?

For the human-machine interface, how do we translate our knowledge and experience into algorithms? For data readiness, what does it take for our data to become machine-readable? The data may currently be easily understandable for a domain expert, but how do we ensure the required level of consistency, quality, and context for algorithms and machine learning?

The digital transition still requires a massive mind-shift in the industry. Going forward, geoscientists will need to acquire new skills, learn to use new tools, and adapt to new workflows. How do we ensure that we are bringing everyone along on this journey? Likewise, geoscientists will need to be involved with data scientists, developers, and programmers to ensure that the AI and ML algorithms are capable of obtaining accurate, low risk – high confidence, results that add value to the E&P workflow.

We want to hear about your experiences navigating this territory, and how your organization is ensuring human involvement and geoscience integration in developing algorithms and applications for the exploration and production domains.

Conference Topics

  • Case Studies
  • Human and Geoscience Integration
  • New ways of working
  • The Vendor Perspective
  • In the Cloud
  • Advances in AI / ML for the subsurface

Abstract Requirements

  • Min. 500 words
    • Word format
  • Min. one illustration
    • jpg/png/pdf
    • min 72 dpi
    • min 711x474px


Questions or Ready to Submit?

Send us an e-mail! Click "Submit Abstract":

Delegate packages

Delegate packages Unit price # of delegates Total Discount
≤ 5 4 000 NOK 5 20 000 NOK 20%
≤ 10 3 750 NOK 10 37 500 NOK 25%
≤ 15 3 500 NOK 15 52 500 NOK 30%
≤ 20 3 250 NOK 20 65 000 NOK 35%
≤ 35 3 000 NOK 35 105 000 NOK 40%


NB! Discounts are only available when purchasing minimum 5 delegate passes.

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kr 5,000 + VAT
kr 2,750 + VAT
kr 2,500 + VAT
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Please contact Ingvild Carstens, ingvild@geonova.no, for information about pricing for start-ups, students and out-of-work professionals.

Terms & Conditions: The organizers reserve the right to alter the program. Substitutions to your registration may be made at any time by contacting the organizers in writing. E-mail events@geonova.no.

Cancellations must be received in writing to events@geonova.no by January 20th, 2021, and will be subject to a 20% processing fee. If paid in full you will be refunded minus the 20 % administration fee, if unpaid the invoice will be re-issued for payment of the cancellation fee only.

We regret that no refunds can be made after January 20th, 2021. Any cancellations received after January 20th, 2021, or non-attendance will be liable for the full registration fee.


Program Committee


Kine Johanne Årdal

Digitalization Manager at Pandion Energy

Kristian Bjarnøe Brandsegg

EVP Projects at Exploro

Peder Aursand

Senior Engineer – Machine learning, Aker BP

Ingvild Ryggen Carstens

General Manager at GeoPublishing

Tormod Slettemeås

Digital Subsurface BD Manager Scandinavia at Schlumberger
James Elgenes

James Elgenes

Leading Advisor Digitalisation at Equinor

Dan Austin

Global Business Development Manager at Earch Science Analytics

Advisory Board


Kristin Dale

CEO at DigScience

Diderich Buch

Chief Strategy Officer at Bluware

Media Partners

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