AI Fault Interpretation - guaranteed results even in challenging seismic data Both sessions will be taking place on Thursday 8 December at 08:00 GMT (09:00 CET, 15:00 AWST) and 14:30 GMT (15:30 CEST, 08:30 CST).Interpreting challenging seis...
Last month, we launched our latest software update 2022.2 with two new trained and untrained neural networks, giving geoscientists more freedom and autonomy over how they interpret seismic data. We caught up with Senior Geoscientist, Abdulq...
Geoteric 2022.2 - faster, more accurate AI Fault Interpretation Geoteric are the first AI Seismic Interpretation software provider to give users the choice between six trained and untrained neural networks - reducing fault interpretation ti...
The renewable energy sector isn’t just growing - it’s booming. The past three months alone has seen the UK announce three major milestones – covering carbon capture and storage, offshore wind and hybrid energy projects - to propel it furthe...
Global AI software specialist Geoteric empowers geoscientists to choose how to interpret seismic data with two new neural networks in 2022.2 Geoteric, a world-leading provider of AI seismic interpretation software to the energy sector, has ...
Ithaca Energy wanted a deeper understanding of the subsurface in an area currently under appraisal in the North Sea. In particular, structural and stratigraphic features that could be the cause of a disappointing Extended Well Test. This we...
On Wednesday September 21 our Head of Geosciences, Dr Peter Szafian will be presenting 'Advanced Seismic Interpretation in Renewable Energy Projects using 3D Exploration and (Ultra) High Resolution Seismic Data' at EAGE Near Surface Geoscie...
We caught up with Director of Innovation, James Lowell, to kick off our monthly meet the team series.
In July's edition of First Break magazine, Chris Han, Abdulqadir Cader and Peter Szafian demonstrate Geoteric interpretation workflows for injectites and remobilised sands to 3D seismic data sets from the UK continental shelf.
The use of Artificial Intelligence (AI) for seismic interpretation has been steadily growing over the past couple of years. AI is ideally suited to fault identification since fault picking is time consuming, often considered boring and the ...
