Armin Pobitzer

SINTEF | Stiftelsen for industriell og teknisk forskning

Artificial Intelligence (AI) is being promoted as an important contributor to ensuring the safety of autonomous ships. However, utilizing AI technologies to enhance safety may be problematic. For instance, AI is only capable of performing well in situations that it has been trained on, or otherwise programmed to handle. Quantifying the true perform...

This paper presents a method for energy efficient weather routing of a ferry in Norway. Historical operational data from the ferry and environmental data are used to develop two models that predict the energy consumption. The first is a purely data-driven linear regression energy model, while the second is as a hybrid model, combining physical mode...

A weather routing system for a ferry in Norway has been developed. In this paper three different models for estimating the energy consumption have been evaluated. The three energy models include two data-driven models, i.e., a linear regression model and a hybrid model, and a simulation-based energy model. The hybrid energy model performed best wit...

This paper presents a method for energy efficient routing of a symmetrical electrical car ferry in Norway. Historical and operational data from the ferry and environmental data (wind, current, and waves) have been used to develop a machine learning model that predicts the energy consumption. Data from more than 2000 trips have been used for trainin...

High fish densities negatively impact catch welfare and the survival of unwanted catches released from purse seines. To avoid overcrowding fish before being released, regulations have been implemented in the Northeast Atlantic mackerel and herring fisheries that limit the proportion of the seine that can be retrieved before catches are released. Ho...

Here, we present the R&D project Real-Time Digital Twin for Boosting Performance of Seismic Operations, which aims at increasing the overall operational efficiency of seismic vessels through digitisation and automation. The cornerstone in this project is the development of a real-time digital twin (RTDT) — a sophisticated mathematical model and sta...

Allocation of hydrocarbons to their original production sources, also known as hydrocarbon accounting, is a key factor for the distribution of costs, revenues and taxes between interested parties in field development and production of oil and gas. When developing an allocation system, the allocation uncertainties in the system should be understood...

Current focus on cost-effective developments of new hydrocarbon fields aims at exploiting the capacity of existing production units to the maximum using a number of tie-ins to subsea developments. This results in increasingly complicated process flows, where individual multiphase streams may or may not be measured. This increased complexity makes d...

Finite-time and finite-size Lyapunov exponents are related concepts that have been used for the purpose of identifying transport structures in time-dependent flow. The preference for one or the other concept seems to be based more on a tradition within a scientific community than on proven advantages. In this study, we demonstrate that with the two...

Room air flow and air exchange are important aspects for the design of energy-efficient buildings. As a result, simulations are increasingly used prior to construction to achieve an energy-efficient design. We present a visual analysis of air flow generated at building entrances, which uses a combination of revolving doors and air curtains. The res...

In many cases, feature detection for flow visualization is structured in two phases: first candidate identification, and then filtering. With this paper, we propose to use the directional information contained in the finite-time Lyapunov exponents (FTLE) computation, in order to filter the FTLE field. Thereby we can focus on those separation struct...

Recent work has shown the great potential of interactive flow analysis by the analysis of path lines. The choice of suitable attributes, describing the path lines, is, however, still an open question. This paper addresses this question performing a statistical analysis of the path line attribute space. In this way we are able to balance the usage o...

Vector fields are a common concept for the representation of many different kinds of flow phenomena in science and engineering. Methods based on vector field topology are known for their convenience for visualizing and analysing steady flows, but a counterpart for unsteady flows is still missing. However, a lot of good and relevant work aiming at s...

In the visualization of flow simulation data, feature detectors often tend to result in overly rich response, making some sort of filtering or simplification necessary to convey meaningful images. In this paper we present an ap-proach that builds upon a decomposition of the flow field according to dynamical importance of different scales of motion...

The rapid development of large-scale scientific computing nowadays allows to inherently respect the unsteady character of natural phenomena in computational flow simulation. With this new trend to more regularly consider time-dependent flow scenarios, an according new need for advanced exploration and analysis solutions emerges. In this paper, we n...