AI Algorithm Integrated into Relative Geological Time Models. Case Study of the Vøring Basin Hydrothermal Vents
Abstract
Summary Intrusive structures can often be an issue for hydrocarbon exploration. The Vøring basin Hydrothermal vents (HVTs) are no exception. Mapping accurately and excluding these structures are a key challenge for building geological models. Overall, more than 140 HVTs have been extracted by using an AI Segmentation algorithm. Their integration into Relative Geological Time models is key to generate automatically and accurately horizons at a regional and local scale; and to analyze the dispersion of the HVTs and their links with local tectonic processes. Additionally, this semi-automated extraction of HVTs permits to gain a considerable amount of time, decreasing the time needed from a few days to only a few minutes for one HVT geobody generation.
Fields of Study & Subjects
Geological Modeling and Analysis
Geological Studies and Exploration
Geochemistry and Geologic Mapping
Publication details
- Journal / source
- EAGE Digitalization Conference & Exhibition
- Pages
- 1–5
- Publication date
- 1 January 2026