Join us for EAGE Digital 2020
Join us for the EAGE Digital 2020 - 1st Online EAGE Digitalization Conference and Exhibition, 30 November - 3 December!
Join us for the EAGE Digital 2020 - 1st Online EAGE Digitalization Conference and Exhibition, 30 November - 3 December!
Join us for the Machine Learning in Oil and Gas 2020 Virtual Conference, 9-10 November! Our local team will be on hand to demonstrate our recently launched revolutionary seismic interpretation products, powered by artificial intelligence (A...
Join us for the Energyworld 2020 Digital Conference, 5 November! Whilst the oil and gas industry remains an important part of the energy landscape, global and social priorities are changing rapidly. Please join Jan Grimnes, our Chairman, as...
Join us for the SEG 2020 Annual Meeting and International Exhibition, 11 - 16 October! As we operate in a time of transformational change, expectations are higher and far reaching across the natural, political and social environments. In an...
Join us for the AAPG 2020 Annual Convention and Exhibition (ACE) online event, 29 September - 1 October! Our local team will be on hand to demonstrate our recently launched revolutionary seismic interpretation products, powered by artificia...
LONDON, UK – 7 September 2020 – Geoteric, a leading software and services provider to energy companies globally, today announced the launch of its two new revolutionary seismic interpretation products, powered by artificial intelligence (AI...
Discover a deeper level of subsurface understanding with increased speed and accuracy. Geoteric 2020.1 now brings expertise in deep learning and combines it with 30 years of geological interpretation experience to revolutionise your workflo...
We're very pleased to report that our technical abstract titled 'AI fault delineation: a case study using Valhall OBS data' has been accepted for presentation at the upcoming 82nd EAGE Conference & Exhibition 2020 in Amsterdam. Well don...
This month, Petroleum Australia shines the spotlight on AI analysis in seismic data interpretation.
