CSSR Webinar Series

Microfluidic platforms for pore‑scale investigation of sulfate‑reducing bacteria under hydrogen storage conditions

Na Liu | NORCE

This webinar presents recent research on the use of microfluidic pore‑scale models to investigate hydrogen transport, mineral reactions and microbial activity in subsurface systems, with direct relevance for underground hydrogen storage and subsurface energy applications

From Pores to Cores: How Flow Interruptions Shape Particle Deposition

Tongtong Yu | NORCE

This webinar presents PhD research on particle transport and retention in porous media, with direct relevance for produced water reinjection in oil and gas reservoirs. Produced water contains solid particles, oil droplets, salts and other contaminants that may reduce injectivity through particle deposition and filter cake formation. The study combined core‑scale and pore‑scale experiments to investigate how injection strategy and pore structure affect injectivity decline.

Data‑Integrated Modelling and Image‑Based Analysis of Multiphase Flow in Porous Media

Jakub Both | UiB

The webinar presents recent advances in bridging the gap between laboratory experiments and computational modelling to improve our understanding of CO₂ storage processes. Dr. Both’s work focuses on creating a robust interface between experimental observations, quantitative data extraction and physics based simulations

Digital Rock Methods for Multiphase Fluid Flows

Espen Jettestuen | NORCE

The webinar presents a new digital method for understanding how fluids flow through rocks deep underground. By using detailed 3D images of real rock samples, the team uses pore-scale simulation to model fluid flow of two and three phases. The method can complement traditional laboratory experiments and offers new possibilities for studying complex behaviour that is otherwise difficult to observe directly.

InterPore webinar: Understanding data and simulations for flows in porous media

Jan Martin Nordbotten | UiB

CSSR hosted an InterPore webinar given by Professor Nordbotten. In this webinar, you will learn about: digital twins and data integration; verification and validation of model predictions; methods for intercomparison of data and experiments.

Efficient nonlinear preconditioning for reservoir simulation history matching using random features learning

Antoine Lechevallier | NORCE

Reservoir simulation guide decisions on field development and resource management, but they are computationally demanding and often slowed down by nonlinear solver failures. The webinar presents latest research based on Hybrid Newton, a machine learning–enhanced approach that learns from previous runs and predicts a better initial guess for the Newton solver. The result is fewer nonlinear solver failures and improved simulator performance.

Underground hydrogen storage in porous media: Microbial controls and multiphase flow

Raymond Mushabe | UiB

This webinar describes how microbes living in saline water within reservoir rocks may influence hydrogen storage and recovery. The presented research combines laboratory experiments, imaging techniques, and computational models to improve underground hydrogen storage efficiency and support the development of reliable clean energy systems.

Closed-loop workflow for short-term optimisation of wind-powered reservoir management

Mathias Methlie Nilsen | NORCE

This webinar explains how offshore operations can shift more of their energy use to wind power by using wind forecasts in their planning. A novel workflow is demonstrated that adjusts pumping and production schedules depending on how much wind power is expected each day. The results show that emissions can be noticeably reduced, even when the wind varies, and production can still be maintained at stable levels.

CO₂ Storage Potential on the Norwegian Continental Shelf

Trine Solberg Mykkeltvedt | NORCE

This webinar presents a new screening tool designed to evaluate the CO₂ storage potential of depleted hydrocarbon fields on the Norwegian continental shelf (NCS). Built on publicly available data, the tool offers an interactive way to assess indicators for properties like storage capacity, injectivity, and field expected lifetime across 134 hydrocarbon fields. With open access to the data and code, this tool enables researchers, policymakers, and industry stakeholders to do an early stage screening for CO₂ storage candidates on the NCS.