The 2026 IGI User Group Meeting has been rescheduled to 03 - 11 November 2026. Â Throughout the week, we will be hosting group sessions at 08:00 and 15:00 (BST/UK time) each day. Each session will be approximately one hour long and will cover the topics listed below.
Office Manager
In September, the IGI team travelled to Birmingham for the kick-off meeting of REGENSOILL. This new €12M project is funded by the European Union's Horizon Europe programme. Over the next 4.
Environmental Monitoring Scientist
It is with deep sadness that we must share the news that Dan passed away on Thursday 10th September after a short illness. Our thoughts and most sincere condolences are with Dan’s family during this most difficult time.
Director & Technical Advisor
p:IGI+ and Metis version 3. 1 is ready to go and available for you to download. Building on top of v3. 0 released back in April this year, v3. 1 allows you to explore more types of data than ever before. We will be presenting version 3.
Product Owner
We are delighted to announce that the annual IGI Software User Group Meeting 2026 will take place online from 22–29 September 2026.
Office Manager
By Paul Farrimond
25-Norhopanes have been reported in biodegraded oils since the late 1970s, and Seifert & Moldowan (1979) proposed that the methyl group at C-25 in the regular hopanes was removed by microbial demethylation associated with the degradation at the oil/water contact of an oil accumulation.
Director & Technical Advisor
from 9-11th June, and will be presenting several talks across a range of subjects and recent collaborations:
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1. Title: The Role of Expertise in a Time of AI: Workflows for regional studies
Presenter: Dan Cornford
Co-authors: M. Nuzzo, D. Gardiner (IGI), H. Rasmussen, S.
Managing Director​ & Data Scientist
Meeting in Sheffield on 18-19 June. IGI are pleased to be continuing our regular sponsorship of this conference – an annual meeting that mainly promotes student research projects in this field.
Director & Technical Advisor
This technical note outlines a workflow using the IGI Machine Learning (ML) tools to reproduce the oil-family framework reported by Holger Justwan, Birger Dahl and Gary Isaksen in their 2006 study of oils and condensates from the Norwegian South Viking Graben.
Managing Director​ & Data Scientist
