PVT Properties in the IGI Property Model
The IGI property model shipped with version 2. 3 of the software sees the introduction of a new PVT property model relevant to geochemistry.
Product Owner
The IGI property model shipped with version 2. 3 of the software sees the introduction of a new PVT property model relevant to geochemistry.
Product Owner
Dear users, we’re delighted to announce version 2. 3 of both p:IGI+ and Metis is now available.
The full release notes can be found here: Full-Release-Notes-2_3. pdf, here we summarise the highlights.
Product Owner
PVT data is essential for reservoir engineers to understand the properties and behaviour of oil and gas in the subsurface. It provides the necessary information on the reservoir fluids phase behaviour and composition needed for reservoir development and production planning.
The IGI user group ran in person over the 20-22 June 2023. This year saw a return to an in person user group, at Hallsannery in the Devon countryside. Read more here. . .
Dear users, we’re delighted to announce version 2. 2 of both p:IGI+ and Metis is now available.
The full release notes can be found here: Full-Release-Notes-2. 2. 6. pdf
Since the release of 2.
Here at IGI we’re proud of industry leading software we have built over 30 years in the industry.
However, the last twelve months have shown us that producing good software is not enough.
IGI is pleased to announce that version 2. 1 of both p:IGI+ and Metis are available. There’s a lot new in version 2. 1. Metis Integration:Geochemistry data managed in Metis can now be quickly and easily linked in a p:IGI+ project.
IGI are pleased to announce that in cooperation with the Norwegian Petroleum Directorate (NPD) our commercial geochemical databases for the Barents Sea and Norwegian Sea are now publicly and freely available.
Version 2. 1+ of our software is a significant upgrade for both p:IGI+ and Metis. If you did not upgrade to 2. 0. 4 then it is essential you upgrade to 2. 1.
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.