The interpretation of horizons is one of the most tedious tasks in regional exploration studies—but it doesn’t need to be.
Join Dan Fernandez in this webinar to explore how, with machine learning (ML) for seismic interpretation, you can expedite prospect exploration studies, achieving what previously took months of manual effort in weeks.
You’ll hear how we’ve employed a pre-trained ML network, trained on the Gulf of Mexico, to predict the salt horizons of the water bottom (WB), top of salt (TOS), and base of salt (BOS) and adopted equivalent ML capabilities to predict the main stratigraphic sequences for regional exploration—on a massive and complex Kwanza basin dataset offshore Angola with limited interpretation resources.
