Browsing OU - Theses by Author "Nicholson, Charles D."
Now showing items 1-5 of 5
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Data-based Stochastic Network Mitigation
Rodriguez Castillo, Alexander D. (2018-05)Current decision-support frameworks to assist mitigation planning do not include uncertainty and complexity of network failures, either one or both. To close this research gap, this thesis walks through a demonstration of ... -
Hydrologic peak flow modelling using machine learning
Potdar, Akhil S. (2020-12-18)The effect of rainfall spatial variability on catchment responses during floods remains poorly understood. The overall objective of this work is to develop a robust understanding of how rainfall spatial variability influences ... -
Probabilistic Characterization of Floods from Catchment-Scale Precipitation Moments
Duarte García, Jorge Alberto (2019)Floods are one of the most devastating natural hazards across the world, accounting for roughly one third of all global geophysical hazards. The ability to predict and characterize floods is increasingly important, and in ... -
Production data analysis and forecasting: Bayesian probabilistic methods to quantify uncertainty, analyze production performance trends in stack
Adaveni, Naga Santhosh (2020-12-18)In this work, a Bayesian approach of probabilistic estimation for decline curve analysis in unconventional reservoirs is presented. The primary objectives of this study are the quantification of the uncertainty for production ... -
Quantitative Analysis of Social Media Sensitivity to Natural Disasters
Beyney, Cyril (2015)The use of social media platforms such as Facebook or Twitter increased exponentially over the last years. They have become a major tool for people to communicate, and for news media to relay their content. In parallel ...