GEOS4´s Nicolaj Mahlstedt and Alexander Hartwig participate in the webinar series ‘Subsurface Systems Modeling’, organized by the EAGE Technical Community on Basin and Petroleum Systems Analysis!
Upcoming 9 July 2025, 15:00 -16:00 CEST:
Kinetics of early to late gas generation and prediction of bulk petroleum properties
Registration for the free webinar with Nick Mahlstedt is open now.
Watch the video recording of the webinar: Weblink
Abstract
Predicting bulk petroleum fluid composition, i.e., gas versus oil occurrence and oil quality, ahead of drilling is a fundamentally important part of risk reduction at a play to regional scale. GEOS4 specialises in predicting the chemical composition (e.g., paraffinic or mixed base, high or low wax, high or low sulphur) and physical properties (number of phases, GOR, Psat, API gravity) of petroleum using forward models based on kerogen and/or inverse models based on seeps/stains/asphaltenes. Our purpose‐built compositional kinetic models (PhaseKinetics and most recently GORfat) are ready for direct import into Petromod® or other modelling software and have delivered over the years sound predictions in a broad variety of petroleum provinces without costing an arm and a leg.
In the webinar we will use a selection of case studies from conventional resource settings to demonstrate that for a correct prediction of petroleum composition at a play to regional scale it is crucial to use play-specific sample material instead of default settings implemented in the usual basin modelling software.
Save the date: 16 September 2025
Using regional scale basin models to investigate natural hydrogen generation and solubility
With Alexander Hartwig. Stay informed about the possibility of registration on this website.
Abstract
A combination of renewable and fossil energy will be employed for securing primary energy supply for the foreseeable future. Dihydrogen (H2) has emerged as a fundamental contributor, especially as regards low emission fuels. White or gold H2, the terms given to natural H2 from geologic sources, is globally ubiquitous, though its presence in a free and economically extractable form has yet to be quantified. GEOS4 has developed a modelling workflow for predicting H2 migration paths at the basin scale. It is a straightforward and adaptable modelling approach based on global parameters such as depth, pressure-temperature conditions, and water salinity and different hydrogen sources. This method can be applied to any hydrogen generation setting. The goal is to distinguish between zones of H2 aqueous and free-gas phase migration (“bubble-point”) and to calibrate to known occurrences of natural hydrogen in the subsurface. This methodology is referred to as Pathfinder Modelling, serving as an exploration screening tool, allowing migration pathways and gas-shows to be studied within a combined geologic context.