Browsing Department of Energy and Petroleum Engineering (TN-IEP) by Author "Tunkiel, Andrzej Tadeusz"
Now showing items 1-4 of 4
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Data-driven sensitivity analysis of complex machine learning models: A case study of directional drilling
Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2020-12)Classical sensitivity analysis of machine learning regression models is a topic sparse in literature. Most of data-driven models are complex black boxes with limited potential of extracting mathematical understanding of ... -
Drilling data quality improvement and information extraction with case studies
Geekiyanage, Suranga C. H.; Tunkiel, Andrzej Tadeusz; Sui, Dan (Peer reviewed; Journal article, 2020)Data analytics is a process of data acquiring, transforming, interpreting, modelling, displaying and storing data with an aim of extracting useful information, so that decision-making, actions executing, events detecting ... -
Impact of data pre-processing techniques on recurrent neural network performance in context of real-time drilling logs in an automated prediction framework
Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (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 ... -
Reference Dataset for Rate of Penetration Benchmarking
Tunkiel, Andrzej Tadeusz; Sui, Dan; Wiktorski, Tomasz (Peer reviewed; Journal article, 2020-10)In recent years, there were multiple papers published related to rate of penetration prediction using machine learning vastly outperforming analytical methods. There are models proposed reportedly achieving R2 values as ...