Browsing Department of Energy and Petroleum Engineering (TN-IEP) by Subject "boring"
Now showing items 1-4 of 4
-
A comparison of working stress design and reliability based casing design
(Masteroppgave/UIS-TN-IEP/2019;, Master thesis, 2019-06-15)Working stress design is the most common design method used on the Norwegian continental shelf and its simplicity makes it easy to understand. However, other methods as the reliability based design gives a different view ... -
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework
(Peer reviewed; Journal article, 2021-11)Recurrent neural networks (RNN), which are able to capture temporal natures of a signal, are becoming more common in machine learning applied to petroleum engineering, particularly drilling. With this technology come ... -
Improving drilling hydraulics estimations ‑ a case study
(Peer reviewed; Journal article, 2021-06)Accurate pressure drop estimation is important for drill string and bit nozzles design and optimized fluid circulations as well as identifying the drilling problems such as bit nozzle(s) washout or plugging. In this study, ... -
Prediction, interpolation and extrapolation of drilling data with Deep Learning
(Doctoral thesis, 2022-11)Directional drilling is an established technology within the petroleum industry. In this traditionally conservative and risk averse environment application of artificial intelligence encounters difficulties at various ...