Benefits of using dense OBN for exploration: an example from Utsira using AI and machine learning

Abstract

The first example of artificial intelligence (AI) geological interpretation on a large scale, densely sampled ocean bottom node (OBN) exploration dataset, Utsira OBN, is presented here. This entirely new suite of derivative seismic products provides enhanced exploration insights through AI, especially in areas where infrastructure led exploration (ILX) is drawing increased focus from the E&P industry. This work is complemented with a velocity model built with the latest processing technology: ultra-long offset and reflection FWI combined with tomography and anisotropy updates. The toolboxes, processing versus AI/ML, do not exclude or replace each other; a combined analysis can extract added value and reduce uncertainties. Such analysis is presented here.