Data from the subsurface of the earth such as borehole imagery and seismic data is especially important in oil and gas exploration. Automated interpretation of this complex data has great potential to be useful for tasks like monitoring and detecting natural resources.
The innovations in Energy will focus on robust and reliable methods for automatic analysis of complex imagery from the digital subsurface for more efficient and detailed oil and gas exploration. Equinor has a major goal of becoming more data-driven and maximizing the value of the vast amount of data available; especially on the Norwegian Continental Shelf. A part of this includes challenges related to analysis of the digital subsurface, e.g. in the form of seismic and borehole imagery, which is important for oil and gas exploration. Automated analysis of these data can lead to large savings in time and resources and more efficient and precise exploration.
The amount and quality of labelled training data is a challenge in this field. Existing interpretations are not made for machine learning purposes. Hence, the annotation quality for the task is unknown and interpretations are generally incomplete. Generating realistic simulated data is difficult as simulated data tends to be too simple. For many of these problems context and dependencies, through exploitation of prior knowledge of the geology, dependencies in space and time or results derived from existing solutions could improve predictions.
Visual Intelligence are advancing deep learning to overcome these challenges.
NLDL 2021 will be a digital conference hosted by the UiT Machine Learning Group and Visual Intelligence January 18-20. The program includes a Mini Deep Learning School the 18th and is followed by a tight program the rest of the week.
Visual Intelligence will be one of the new SFIs funded by the Research Council of Norway. The center will run over a period of eight years and will form a collaboration between businesses and research institutions in Norway.
The official opening of SFI Visual Intelligence was successfully arranged as a digital event today. We are now ready to commence our research and innovation to tackle some of the large challenges in deep learning and AI, along with our partners.