Vitenskapelige publikasjoner (TN-IEP)
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Application of machine learning modeling for the upstream oil and gas industry injury rate prediction
(Peer reviewed; Journal article, 2024-04)Introduction: Yearly, the International Labor Organization report indicates many workplace accident occurrences. The degree of the happenings depends on the workplace environment setting and the incident regulatory measures ... -
An Inductive Bias for Emergent Communication in a Continuous Setting
(Peer reviewed; Journal article, 2024)We study emergent communication in a multi-agent reinforcement learning setting, where the agents solve cooperative tasks and have access to a communication channel. The communication channel may consist of either discrete ... -
An Artificial Neural Network-Based Fault Diagnostics Approach for Hydrogen-Fueled Micro Gas Turbines †
(Peer reviewed; Journal article, 2024-02)The utilization of hydrogen fuel in gas turbines brings significant changes to the thermophysical properties of flue gas, including higher specific heat capacities and an enhanced steam content. Therefore, hydrogen-fueled ... -
Gas Evolution in Li-ion Rechargeable Batteries: A Review on Operando Sensing Technologies, Gassing Mechanisms, and Emerging Trends
(Peer reviewed; Journal article, 2024-06)Gas evolution is fundamentally problematic in rechargeable batteries, and may lead to swelling, smoking, and device-level failure. In laboratories, monitoring gas evolution can help understand dynamic chemical events inside ... -
Ripening of Capillary-Trapped CO2 Ganglia Surrounded by Oil and Water at the Pore Scale: Impact of Reservoir Pressure and Wettability
(Peer reviewed; Journal article, 2024-05)Mass transfer by Ostwald ripening can impact the life and volume of capillary-trapped CO2 in the subsurface. CO2 storage in depleted hydrocarbon reservoirs encounters various preferences for wetting of the porous rock, ... -
Cuttings Transport With Oil- and Water-Based Drilling Fluids
(Peer reviewed; Journal article, 2024-01)Deviated well sections are common in most modern offshore well construction designs. In the North Sea region, which is a good example of mature areas, practically all producer or injector wells have highly deviated well ... -
Learning control applied to a digital-to-analogue converter
(Chapter, 2023)Digital-to-analogue converters (DACs) exhibit several non-ideal effects that deteriorate performance. Methods in feedback control can reduce such effects. Due to implementation limitations, the feedback signal in existing ... -
Effect of Organic Retarders on Fluid-State and Strength Development of Rock-Based Geopolymer
(Chapter, 2023)Granite waste is rich in aluminum and silicate has the potential of turning to geopolymer material after mixing with an alkali solution. One of the challenges in developing a geopolymer is to select a suitable retarder to ... -
Criterion for sufficiently large dither amplitude to mitigate non-linear glitches
(Chapter, 2023)A model describing glitch disturbances is introduced and analysed. The model is used to find the response of glitch disturbances when adding a periodic dither to the input and applying low-pass filtering to the output. ... -
Temperature-Dependent Classification of Geopolymers Derived from Granite Designed for Well Cementing Applications
(Peer reviewed; Journal article, 2023)Alternative materials such as geopolymers appear to have potential advantages compared to Portland cement. However, the application of geopolymers for all sections of the well is still a major challenge due to the difference ... -
Solving Nonlinear Conservation Laws of Partial Differential Equations Using Graph Neural Networks
(Peer reviewed; Journal article, 2023)Nonlinear Conservation Laws of Partial Differential Equations (PDEs) are widely used in different domains. Solving these types of equations is a significant and challenging task. Graph Neural Networks (GNNs) have recently ... -
Fixed type-oscillating water column front wall angle variation and impact on chamber performance: CFD numerical wave tank assessment
(Peer reviewed; Journal article, 2023)This study investigates optimizing the front wall geometry of an Oscillating Water Column (OWC) chamber to enhance turbine performance and output efficiency when harnessing energy from progressive waves with consistent ... -
Development of a surrogate model of a trans-critical CO2 heat pump for use in operations optimization using an artificial neural network
(Peer reviewed; Journal article, 2023)Conventional physics-based models can demand substantial computational resources when employed for operational optimization. To allow faster system simulations that can be employed for operational optimization, a surrogate ... -
Artificial neural network model for predicting CO2 heat pump behaviour in domestic hot water and space heating systems
(Peer reviewed; Journal article, 2023)The natural refrigerant, CO2, possesses thermophysical properties that make it highly suitable for domestic hot water (DHW) production using heat pump technology. In this study, the development and validation of an artificial ... -
Assessing Impact of Borehole Field Data’s Input Parameters on Hybrid Deep Learning Models for Heating and Cooling Forecasting: A Local and Global Explainable AI Analysis
(Peer reviewed; Journal article, 2023)Achieving accurate performance forecasting of borehole heat exchanger is essential for optimizing ground source heat pump systems, enabling optimal control, and facilitating energy-efficient operations with enhanced ... -
Machine learning for underground gas storage with cushion CO2 using data from reservoir simulation
(Peer reviewed; Journal article, 2023)Underground natural gas storage (UNGS) is a means to store energy temporarily for later recovery and use. In such storage operations, carbon dioxide (CO2) can be injected as cushion gas to improve the operating efficiency ... -
An approach for optimization of controllable drilling parameters for motorized bottom hole assembly in a specific formation
(Peer reviewed; Journal article, 2023)This study focuses on optimizing drilling parameters when using Positive Displacement Motors (PDMs). In drilling operations involving mud motors, weight-on-bit (WOB) alterations lead to variations in the system's parasitic ... -
Breaking Scaling Relations for Highly Efficient Electroreduction of CO2 to CO on Atomically Dispersed Heteronuclear Dual-Atom Catalyst
(Peer reviewed; Journal article, 2023)Conversion of CO2 into value-added products by electrocatalysis provides a promising way to mitigate energy and environmental problems. However, it is greatly limited by the scaling relationship between the adsorption ... -
Hydrogen Safety Considerations: Mitigating Risks and Securing Operations in Enclosed Spaces
(Peer reviewed; Journal article, 2023)The increased interest in hydrogen as a versatile and environmentally friendly energy carrier has led to its recognition as a potential solution for addressing environmental concerns and challenges associated with transitioning ... -
Prediction of Optimal Production Time during Underground CH4 Storage with Cushion CO2 Using Reservoir Simulations and Artificial Neural Networks
(Peer reviewed; Journal article, 2023)Injection of carbon dioxide (CO2) in aquifers for underground natural gas storage (UNGS) can improve the operating efficiency of the storage facility during gas injection and production and later serve as a solution for ...