“The application of deep learning for more accurate fault delineation” is the full title of the talk which will be given by James Lowel, Research and Development Director for GeoTeric…
At #DIGEX2019, the digital subsurface one of the important themes is how to use machine learning applications in a G&G workflow. There is a session on day 2 (see here…
Automated seismic interpretation is one of the better-known examples of machine learning and a whole session of #DigEx2019 in Oslo is dedicated to it (full program here). One of the…
Together with partners Shell and Total, Equinor takes part in the Northern Lights project that submitted an application for an exploitation permit for a subsea reservoir in September 2018. As…
#DigEx 2019– The Digital Subsurface conference hosted by Geopublishing takes place in Oslo on Januray 30-31. Kimberly Lein-Mathiesen from Microsoft Norway will present a keynote in the session about Digital…
On Januray 30-31, Geopublishing is hosting the very first conference concerning digitalisation of the subsurface, targeting explorationists dealing with immense amounts of data: #DigEx 2019– The Digital Subsurface. “The mass…
The program for #DigEx 2019 is getting finalized and is promising 2 interesting days with talks about the digital subsurface. Join us and sign up here! The first day starts…
Digital technology is enablingthe oil & gas industry to completelychange the way geoscientists work, how it impactsour daily jobs and the possibilities that comes with it. Does this also mean…
Part 1: History & early developments of marine vibrators for geophysical acquisition techniques. If you want to find the secrets of the universe, think in terms of energy, frequency and…
At NPD’s well attended Exploration Technology Seminar, Graeme Bagley, Associate, Global Exploration Research at Westwood Global Energy Group presented a new report on “Advances in Exploration Technology and Geosciences –…
Part I: how to become an expert at solving differential equations in five minutes… What is Finite Difference? In computational mathematics, finite-difference (FD) methods are numerical methods for solving differential…
Most successes so far in deep learning have been based on supervised learning. The holy grail, however, is unsupervised learning. Have you read Part I & II? Part I Once,…