The importance of structured data
Barely 5% of available seismic data is utilized and geoscientists and engineers reportedly spend more than 50% of their time searching and assembling data.
Technology
Do I trust what is in the cloud or what is in my geomodel?
A wrap-up of last week’s DIGEX2021 Conference.
How Shell is redesigning the work of explorationists
Shell’s new digital venture is experimenting with new ways for explorers to work remotely and crowd-sourcing expertise.
A well’s headshot
Pandion Energy shows how data resulting from the Released Wells Initiative can be used to further investigate reservoir quality in the Cara discovery.
The use of public domain subsurface data in the spotlight
A consortium of Dutch companies launched a petition to support an open-source well database last week. It doesn’t happen often that companies initiate a debate this way.
QEMSCAN – the geological QR code
Through analysing hundreds of cuttings from a single well, depositional history and provenance changes are brought to life with the QEMSCAN technique.
Finding the hard-to-find treasures
DIGEX 2021: Be sure to attend this case study presentation on how to increase your chances of finding injectite sands.
Surpassing human capabilities
A recent global machine learning competition resulted in new algorithms that can predict lithology from well logs as good as, or even better than humans.
Teaching old data new tricks
Old, publicly available seismic data from the NCS is given new life via the use of artificial intelligence and machine learning. A research project has shown that new insights in…
Bringing legacy seismic data into the 21st Century
British company Moveout Data will help Osokey deliver a world-class open access subsurface data platform for the OGA.
Are you a subsurface citizen data scientist?
At the upcoming #DIGEX2021 conference, Aker BP will show how hackatons help get geoscientists interact with subsurface data more.
Digitalisation enables NPD to take on large-scale projects in a time-effective manner
As will be presented during the upcoming #DIGEX2021 conference next month, the NPD has embarked on using machine learning technology to better map NCS petroleum resource potential.