• A Probabilistic Reinforcement Learning Framework for Optimized Decision-Making in Geosteering 

  Muhammad, Ressi Bonti (PhD thesis UiS;, Doctoral thesis, 2025)

  Geosteering refers to the process of intentionally adjusting the drilling trajectory to navigate subsurface environment and maintain alignment with target formations. It is a key process used while drilling oil and gas ...

• A multi-objective decision-making framework for the choice between mutually exclusive alternatives under uncertainty: Assessing the competitiveness of offshore wind for a gas field electrification on the NCS 

  Aghajani, Daniel; Bratvold, Reidar Brumer; Hagspiel-Janssen, Verena; Noshchenko, Olga; Toutain, Vincent (Peer reviewed; Journal article, 2024-11)

  Due to rising concerns about climate change and anticipated energy demand increase the Norwegian government advocates for floating offshore wind to decarbonize its oil and gas industry on the Norwegian continental shelf ...

• Assessment of caprock integrity for geolological storage of hydrogen 

  Boateng Curtis (Master thesis, 2024)

  The geological storage of hydrogen and carbon dioxide has emerged as a promising solution for mitigating greenhouse gas emissions and facilitating the transition to a low-carbon energy future. However, the success of such ...

• Rock mass investigation methods: Learnings from the Rogfast and Ryfast tunnel projects 

  Achterberg, Ann Michelle van (Master thesis, 2024)

  The Rogfast and Ryfast projects represent major tunnel projects in western Norway designed to improve regional transportation infrastructure. Effective excavation methods and comprehensive rock mass investigations are ...

• Rock weakness zone detecting using first-arrival traveltime tomography in underwater tunnel construction settings 

  Østhus, Hanna (Master thesis, 2024)

  Identifying geological weakness zones is crucial in the early stages of subsurface projects, yet it poses significant challenges due to the limited prior knowledge of rock properties and structural features. This thesis ...

• Physical activation functions (PAFs): An approach for more efficient induction of physics into physics-informed neural networks (PINNs) 

  Abbasi, Jassem; Andersen, Pål Østebø (Peer reviewed; Journal article, 2024-08)

  In recent years, the evolution of Physics-Informed Neural Networks (PINNs) has reduced the gap between Deep Learning (DL) based methods and analytical/numerical approaches in scientific computing. However, there are still ...

• Sequential drilling decisions based on explicit joint probability distribution of spatially distributed subsurface data: Modeling and value creation propositions 

  Morosov, André Luís (PhD thesis UiS;, Doctoral thesis, 2024)

  Revenue from hydrocarbon production depends on physical properties whose values change spatially and only sampled in a few locations by the time of capital commitment. Drilling new wells enables hydrocarbon production, but ...

• Optimization of Offshore Saline Aquifer CO2 Storage in Smeaheia Using Surrogate Reservoir Models 

  Amiri, Behzad; Jahanbani Ghahfarokhi, Ashkan; Rocca, Vera; Ng, Cuthbert Shang Wui (Peer reviewed; Journal article, 2024-10)

  Machine learning-based Surrogate Reservoir Models (SRMs) can replace/augment multi-physics numerical simulations by replicating the reservoir simulation results with reduced computational effort while maintaining accuracy ...

• Well placement for Safe Fluid Injection in Northern Ligts Project 

  Hamid, Muhammad Tayya (Master thesis, 2024)

• Well Test Design for Fluvial Reservoir Systems 

  Tavares Soares, Breno Eduardo (Master thesis, 2024)

• Seismic Forward Modelling of Internally Layered and Structured Salt Diapirs 

  Del Pino Bullon, Edgar Ricardo (Master thesis, 2024)

  Seismic illumination of the interior of a salt body has not been a priority for most interpreters during hydrocarbon exploration and development. With the increasing necessity of safely storing energy (e.g., H2) or waste ...

• Generic variations in subsurface aquifer models and their impact on simulated subsurface CO2 storage 

  Yan Wu (Master thesis, 2024)

  CO2 storage, particularly geological sequestration in saline aquifers, is an essential approach for reducing CO2 emissions and mitigating climate change. This study investigates the impact of generic variations in a deep ...

• Integrating high-resolution seismic inversion with geotechnical data for offshore wind applications 

  Olarewaju, Modupe Abayomi (Master thesis, 2024)

  Norway's objective is to generate 30GW of offshore energy by 2040 in order to obtain its 2050 Net Zero targets. In 2020, two areas were opened (Utsira Nord and Sørlige Nordsjø II) on the Norwegian continental margin for ...

• Developing an Empirical Model to Predict Compressor Performance 

  Omer, Mohammad (Master thesis, 2024)

  This thesis presents the development of an empirical model to predict compressor performance, focusing on the integration of Original Equipment Manufacturer (OEM) characteristics into Machine Learning (ML) model inputs. ...

• Integrating Seismic Analysis and Subsurface Fluid Flow Modelling in Snøhvit Field, Barent Sea 

  Ridhadin, Faiz Hirzi (Master thesis, 2024)

  This thesis investigates the subsurface fluid flow dynamics within the Snøhvit Field in the Barents Sea, utilizing seismic analysis and numerical modelling. The study identifies and characterizes key geological features ...

• 4D Surface Reconstruction of Micron-Sized Organic Calcite for the Characterization of Chemical Heterogeneity of Chalk Surfaces 

  Bredal, Tine Vigdel; Ost, Alexander D.; Wirtz, Tom; Audinot, Jean-Nicolas; Zimmermann, Udo; Madland, Merete Vadla; Minde, Mona Wetrhus; Puntervold, Tina (Peer reviewed; Journal article, 2023)

  Seawater injection into chalk reservoirs is a method for improved oil recovery (IOR) at the Norwegian Continental Shelf (NCS). During the injection of fluids for IOR, complex physicochemical interactions between the injected ...

• Time-Lapse modelling of Plume Development in the Sleipner CO2 Injection project 

  Adedamola, Adesoji (Master thesis, 2024)

  Carbon capture and storage (CCS) has been globally accepted as an efficient way for mitigating against greenhouse gases (especially carbon-dioxide – CO2) and one of the routes to achieving the long-term net-zero as captured ...

• 4D elastic AVO inversion of seismic data from the Sleipner CCS project 

  Berland, Lars Erik (Master thesis, 2024)

  In seismic inversion, the goal is to reconstruct unknown subsurface model variables, such as elastic velocities, from seismic measurements. This thesis focuses on the application of a novel adjoint-state based elastic ...

• Potential for Optimization of Reinjected Produced Water Composition to Improve Oil Production and Reduce Water Production 

  Nawaz, Raheela (Master thesis, 2024)

  Growing concerns about environmentally friendly enhanced oil recovery (EOR) based on injected water modification / optimization are driving efforts to develop sustainable solutions in the offshore oil industry. Water ...

• CO2 BEHAVIOR IN OPEN AQUIFERS, INSIGHTS FROM VERTICAL HETEROGENEITY AND STRUCTURE CONFIGURATION 

  Santiago Vargas Lopez (Master thesis, 2024)

  This study investigates the behavior of the CO2 plume in open aquifers by the change in important properties. Vertical permeability, with the creation of 8 different varying permeability properties with depth keeping the ...

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