Paul will present an invited keynote lecture at the 2-day FORCE Webinar “Underexplored Plays IV” on 27th January.
The talk will be an overview of the biodegradation of oil, and the abstract can be found here: https://www. npd. no/en/force/events/underexplored-plays-iv/
The second article in the “Art of Science” series, by Dan Cornford. This article extends the initial article which reviewed the notion of clustering and looks at some of the practical implications. IntroductionRecently we have added k-means clustering to p:IGI+, to supplement the data exploration capabilities of the software.
A short note by Dan Cornford on the place of machine learning in the geosciences, part of the Art of Science series of technical notes. Please click here to read the full technical note:
IGI’s data team compiled and added a total of 1,215 new samples from 29 wells. This data alongside all of the public Norwegian North Sea data are available from:
https://npd. igiltd. com/
As well as the data update, the newly released software platform Metis 2. 0.
IGI (Marianne Nuzzo) contributed to a research article published this month in Geology. . . . . . (https://doi. org/10. 1130/G49344. 1) presenting novel porewater geochemistry and heat-flow data along a major oceanic strike-slip fault of the Horseshoe Abyssal Plain (northeastern Atlantic Ocean).
IGI is pleased to announce that November sees the release of version 2 of its flagship p:IGI+ geochemistry interpretation software. Version 2 builds on earlier releases to provide an intuitive, customised, and powerful tool for visualising and interpreting your geochemistry data.
Version 2. 0 of our software is a significant upgrade for both p:IGI+ and Metis. It is a strongly recommended upgrade, that involves significant changes to the underlying data storage, offering the opportunity to further improve things moving forward.
IGI's latest newsletter has been published. To find out what it includes this time, please use this link https://mailchi. mp/1faa9fb78beb/igi-newsletter-november-13825182
An article in the “Art of Science” series, by Dan Cornford exploring and explaining the use of statistics, machine learning and more widely data science in the geosciences. IntroductionRecently we have added k-means clustering to p:IGI+, to supplement the data exploration capabilities of the software.