Browsing Studentoppgaver (TN-IER) by Author "Buland, Arild"
Now showing items 1-4 of 4
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Joint Bayesian AVO and RMO inversion
Saadallah, Lamine-Yanis (Masteroppgave/UIS-TN-IER/2019;, Master thesis, 2019-06-15)Seismic amplitude variation with offset (AVO) has proved to be a useful technique in oil exploration. However, the sensitivity of AVO to residual move-out (RMO) is considered a severe limitation. Small misalignments between ... -
Machine and Deep Learning for Lithofacies Classification from Well Logs in the North Sea.
Masapanta, John (Master thesis, 2021)Lithology identification by using well log data is an initial and fundamental step within petroleum geosciences; same that provides essential information about the subsurface and plays a crucial role in reservoir ... -
Multi-Attribute Seismic Analysis Using Unsupervised Machine Learning Method: Self-Organizing Maps
Mansoor, Syeda Vania (Master thesis, 2021)Seismic attributes are a fundamental part of seismic interpretation and are routinely used by geoscientists to extract key information and visualize geological features. By combining different findings from each attribute, ... -
A study of Machine Learning application on net-to-gross prediction using seismic horizons. Case Study: The Brent Group - Statfjord Field
Pratikna, Khoirrashif (Masteroppgave/UIS-TN-IER/2020;, Master thesis, 2020-07-15)As petroleum geosciences enter the era of big data, this field of study encompass difficult optimization and decision-making in real-world problems. The increasing number, difficulty, and scale of such specific problems ...