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The Road to AI - Energizing the Domain Experts

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

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.

How to order

  1. Select the number of tickets you wish to purchase
  2. Click "Get tickets"
  3. Confirm number of tickets
  4. Discount is applied automatically
  5. Fill out information about each delegate
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    1. You can pay by invoice or by credit card
    2. For delegates from abroad, we prefer payments by credit card
    3. Delegates abroad are exempt from VAT
  7. Complete your purchase

You will receive an e-mail with information about how to access the platform.



The numbers below include tickets for this event already in your cart. Clicking "Get Tickets" will allow you to edit any existing attendee information as well as change ticket quantities.
kr 5,000 + VAT
kr 2,750 + 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.


Day 1

Digital Perspectives

Transforming Interaction between People, Data & Technology
James Elgenes, Leading Advisor Digitalization at Equinor


Johan Krebbers, IT CTO & CP TaCIT Architecture at Shell

From Data Platforms to Data Pipelines

Accelerating Enterprise Data Discovery, Integration, and Value Extraction across the E&P Lifecycle
Priya Soni, Product Champion - GAIA Xchange at Schlumberger



Q&A and Discussion w/ speakers


New Ways of Working

Cuttings Insight Collaboration – making Data Exploration Fun 
Kine Johanne Årdal, Digitalization Manager at Pandion Energy

Transforming the Wellbore Operations Experience
Victoria Baines, Wireline Digital Product Champion at Schlumberger

Winning with Open Subsurface Datasets!  Results from the FORCE 2020 Machine Learning Competition on Wells and Seismic
Peter Bormann, Exploration Geologist at ConocoPhillips

From Unstructured Data to Efficient E&P Decisions
Kim Gunn Maver at Iraya Enegies

The Necessity of a Single Truth for Geoscience and Engineering Data 
Philip Neri, Director of Marketing at Energistics

Q&A and Discussion w/ speakers

Case studies - Wells

Labeling Strategy, Feature Analysis, and Algorithmic Benchmarking in a Machine Learning Assisted Lithology Classification Workflow - First Results from a Barents Sea Case Study
George Ghon, Geoscientist at Earth Science Analytics

Sensitivity Analysis of Plio-Pleistocene Glacial Erosion Timing and Magnitude on the Maloy Slope, North Sea, using an AI-based Basin Simulator
George Ghon, Geoscientist at Earth Science Analytics


Q&A and Discussion w/ speakers

Day 2

Digital Mindshift

Design Thinking

Using Hackathons to Foster Subsurface Citizen Data Scientists
Vidar Furuholt, Senior Advisor - Digitalization at Aker BP


New Digital Workflows

From analog to digital Geology: a novel workflow for improved subsurface characterizationand exploration using Unmanned Aerial Vehicles. A case-study from the Svalbard Archipelago
TBA, Aker BP

Big Mineral Data - Full Well QEMSCAN Data from Cuttings
Jenny Omma, Chief Geologist at Rocktype

Enabling Data Science against Legacy Software Application Data
Mark O'Brien, Software Portfolio Manager at Cegal

Developing New Workflows and Tools to Handle Big Amounts of Data
Susanne Møgster Sperrevik, BD & Exploration Director at M Vest Energy

Q&A and Discussion w/ speakers

Extracting Value from Data


Digital LTRO
Ole Jacob Sandal, Subsurface Manager at Ridge

Geological Process Modeling coupled with Geostatistics for Facies Modeling: a Case Study in the Brazilian Pre-salt Carbonates
Danilo Jotta Ariza Ferreira, Geologist at GIECAR / Schlumberger

Q&A and Discussion w/ speakers


Case studies - Seismic

One-click Processing and Interpretation with Pre-trained Networks
Aina Juell Bugge at Lundin Energi Norway

Characterising Injectites on a Basin Scale - A Northern North Sea Case Study 
Theresia Citraningtyas, Intern at Earth Science Analytics

Use of Artificial Intelligence to maximize the petroleum resource potential on the Norwegian Continental Shelf 
Petter Dischington, Geoscientist at NPD

Seismic Structural Interpretation using Geology-driven Machine Learning Approaches: A North Sea case study
Cagil Karakas, Senior Research Geoscientist at Schlumberger

From Analog to Digital Geology: A Novel Workflow for Improved Subsurface Characterization and Exploration using Unmanned Aerial Vehicles. A case study from the Svalbard Archipelago

“Old” Big-Data Awakened to New Life with AI / ML Processing
Peter Keller, Advisor Geology & Geophysics, and Director at AGGS


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

Organized by

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?

Abstract submission is now closed. To enquire about presenting, contact Ingvild Carstens in GeoPublishing AS.