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Oil & Gas

Business can only get better

In anticipation of the tax changes announced by the UK government in October 2024, corporate…

Drilling around mud diapirs

Mud diapirs have long been enigmatic struc­tures in the subsurface. With older seismic data being…

Fresh water in deep-marine sandstones – how come?

“A famous example of anchoring is finding a high resistivity anomaly on a structure in…

Aberdeen Energy Talks

Energy Transition

Carbon Capture & Storage

Geothermal

Seabed Minerals

The world’s largest SMS deposits

The terrain along the ultra-slow-spreading Mohns Ridge in the Norwegian Sea is continu­ously renewing itself…

New Gas

Hydrogen exploration potential in Uruguay

Uruguay has completed the first phase of its energy tran­sition; most electricity is now generated…

Exploration Opportunities

Discover more in Møre, Norway

As demonstrated by recent exploration success, Viridien’s Northern Viking Graben (NVG) seismic survey in the Northern North Sea has already proven to be a valuable exploration tool. Thanks to the high-quality seismic data in this geologically challenging area, prospects are better defined, allowing for qualified drill decisions. In 2024, Viridien applied the latest seismic acquisition and imaging technology to add a northern extension, known as NVG24 (green polygon in Figures 2 and 3), to its current coverage over the NVG so that it now extends into the Møre Basin and Møre Platform in the Norwegian Sea. A glimpse of the early fast-track data from NVG24 is shown in the foldout juxtaposed with fully imaged data from the NVG East- West (EW) coverage (Figures 2 and 3). The upcoming NVG24 final data will be of the same high quality and reveal structural and stratigraphic details at the Manet Ridge, Marulk Basin, Gnausen High and the Møre Platform (Figure 3).

Geological understanding based on new data is required to unlock potential in the Vøring Basin

Highlights:

  • New high-quality seismic and FWI velocity attributes to identify petroleum plays and prospects
  • Refinement of sedimentary systems and sand deposits in regions with complex geology
  • Identification and mapping of deep-water Paleogene source-to-sink sedimentary systems
  • New understanding of volcanic basin processes and deposits
  • Interaction between volcanic rocks / sill intrusions and sediments
  • Maturation and focused migration of hydrocarbons from deeper structures to shallow reservoirs in hydrothermal vent complexes (HTVC)
  • Tie to industry and scientific boreholes and seabed sampling locations

From data to discovery: Applying AI in offshore geoscience

The North Sea continues to rank among the most prolific hydrocarbon regions globally, with abundant remaining re¬sources in both barrels of oil equivalent and carbon capture and storage (CCS) potential. In this comprehensive study, we leveraged advanced AI workflows to interpret multiple seismic surveys and utilize a vast dataset of well informa¬tion to unlock new opportunities for ex¬ploration and development.
Focusing on a large area of the UK and Norwegian continental shelf, the anal¬ysis covered nearly 5,000 wells, 643 of which are Norwegian exploration wells, encompassing around 70 unique data types. Additionally, the dataset included 2,924 UK development wells and a range of UK exploration wells. This project used the ESA EarthNET platform to ingest, process, and inter¬pret the data over six months. What follows is a walkthrough of our full workflow - from raw data ingestion to final geological deliverables - demon¬strating how EarthNET supports rapid, scalable interpretation in data-dense offshore regions.
The EarthNET Data Lake is a platform for managing, contextualizing, and exploring subsurface data across the entire exploration and development workflow. Directly connecting EarthNET modules enables a seamless tran¬sition from raw data to actionable insight. As shown in Figure 1c, the Data Lake acts as the central hub of EarthNET’s integrated, AI-powered subsurface ecosystem.

EARTHNET WORKFLOW

  • Import Your Data - From files, databases, or directly from OSDU™.
  • Contextualise It - Add metadata and indexing to make your data easily searchable and usable.
  • Explore It - Use map-based and object-specific explorers to understand spatial and relational context.
  • Make It Analytics-Ready - Use EarthNET’s cleaning and alignment tools to prepare for AI/ML workflows.
  • Continuously Improve It - Iterate on training data and model outputs with feedback loops and active learning.
  • Export & Share - Push data back to the OSDU™ Data Platform to enable collaboration and third-party tool integration.
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