ig.NET is your go-to knowledge base for geochemistry and petroleum systems—making data easier to interpret and helping you grow your expertise with confidence
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
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
Clients using our ML tools often mention that it can be difficult to know which models to use. We generally advise users to start with the simplest appropriate model as a baseline (this is the default option), then to try additional models for comparison.
ML Team Lead
ig.NET contains inter-linked material, concise images and linked references providing a key resource for a broad scope of geochemical and PSA work
Product Benefits
ig.NET offers key geoscience theory, insight into analytical methodology, relevant analogies and interpretation guidance
Access ig.NET from geochemistry help and artefact information links throughout p:IGI+
Apply petroleum geochemistry and basin modelling knowledge to data in new ways, generating fresh opportunities
Access ig.NET material anytime, anywhere—on any phone, tablet, Mac, or PC—right from your web browser
