| dc.description.abstract | Decision support system is fundamental to any industrial process. In the Oil \& Gas industry is essential to have this support, but in the present time, it is not usually done effectively. Oil and gas operators that are used to working in the control rooms deal every day with advanced analysis strategies of the facilities. However, dealing with the data they receive is not always easy or reached in real-time, making difficult the optimization of the operations. This lack of information and experience when treating process data leads companies to fail in performance, efficiency, and economy, and it represents a challenge that the Norwegian company, Eldor AS, is facing successfully with the creation of Egolf.
The purpose of the present study is to show the importance of Digitalization and operations of Smart Assets in the industry, enhancing better performance and optimizing the process decisions that will effectively reach the main goals of the companies that apply them. To do so, the study of a solution is shown in the thesis proving that Multilevel Flow Modeling approach for the representation of flow processes, applied to Egolf technological program can provide an advanced alternative through causal analysis application. This new technology enables the real-time access to crucial information providing efficient decision support for continuously increased productivity, overexposure risk, and unnecessary costs.
Engineers can use Egolf as an effortless and user-friendly cloud-based tool to tackle challenges that the process industry is facing nowadays like continuously increased productivity, accelerated product
introduction, optimized and more
flexible production, and assured product quality, predicting the process behavior when it is exposed to abnormal conditions in the Oil \& Gas industry and, maybe in the future, in many other sectors. | nb_NO |
