
Dig X Subsurface
SCANDIC LILLESTRØM | OSLO | NORWAY
02-03 DECEMBER 2026 || DIGEX.NO
About
Geoscience meets technology in the digitalization community.
New digital tools and applications can be catalysts and a competitive edge in better decision-making, evaluation, and improved inter-disciplinary subsurface understanding, in our efforts to to meet the energy demands of tomorrow!
Why?
Digitalization of the subsurface is a rapidly developing field. We are witnessing significant progress in embracing technology opportunities. Yet, there are still challenges and language barriers addressed.
At DigXSubsurface, we lay a foundation for trust in new tools, data, and applications through the presentation of case studies, key learnings, and best practices to develop next-generation subsurface workflows.
For whom?
Geoscientists, data scientists, and digitalization professionals working within the subsurface domain in the traditional and renewable industries:
- Oil companies
- Service companies
- Technology providers
- Authorities
- Research and educational institutions
Sponsors
Organized by
Registration
Please contact Ingvild Carstens, events@geopublishing.no, for information about pricing for start-ups, students and out-of-work professionals.
Terms & Conditions:
GeoPublishing AS reserve the right to alter the program. Substitutions to your registration may be made at any time by contacting the organizers in writing on events@geopublishing.no.
Accomodation
SCANDIC LILLESTRØM
NB! Available rooms from 01-02 December. If you need to book before/after, please e-mail events@geopublishing.no, and we can assist you.
Standard single room incl. breakfast, 1 night
01 December - NOK 1,950 incl. VAT
02 December - NOK 1,950 incl. VAT
You can book your hotel room directly when you register for the conference.
How to get there
Stillverksveien 28,
Lillestrom
Flytoget or Vy from Oslo Airport to Lillestrøm
Parking
Parking is available at the hotel
Program
Preliminary Program
Digital Academy
TBA
TBA
Agentic AI / Next generation subsurface workflows
From workflow to agent: Structural-uncertainty ensembles in Petrel
Umedzhon Kakhkhorov, Senior Software Analyst Geoscience at Cegal
Agentic quality control for multimodal table classification in oil and gas archives
Yuchen Mao, Machine Learning Engineer, at Viridien
From data to prospect with the PSS-GEO Subsurface AI-driven platform
Vita Kalashnikova, CEO at PSS-GEO
Multi-agent reporting solution for wellbore interpretation reports
Shilpi Gupta, Domain Data Scientist - Production - TL at SLB
From data to decisions: Towards an agentic well benchmarking assistant for accelerated well planning
Gyunay Namazova, Senior Advisor Reservoir Technology at Petoro & Michael Nickel, Principal Data Scientist at SLB
Foundation Models
Tokens are cheap; Taxonomy is hard evaluating VLM performance on an open palynology benchmark
David Wade, Researcher, Geoscience Data & Analytics at Equinor
Operationalising seismic foundation model features for exploration search and interpretation
Yann Van Crombrugge, Senior Data Scientist and Aina Bugge, Senior Data Scientist at Aker BP
Subsurface Foundation models – The next wave of Subsurface AI
John Brittan, Chief Geophysicist at TGS
Preliminary Program
Program Committee
Joanne Suffert
Petter Dischington
David Wade
Pierre Le Guern
Khushboo Havelia
Adnan Latif
Odd Kolbjørnsen
Ingvild Ryggen Carstens