Browsing OU - Theses by Title
Now showing items 397-416 of 2180
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Data Driven Network Design for Cloud Services Based on Historic Utilization
(2022-03-31)In recent years we have seen a shift from traditional networking in enterprises with Data Center centric architectures moving to cloud services. Companies are moving away from private networking technologies like MPLS as ... -
Data Driven Optimization of Inter-Frequency Mobility Parameters for Emerging Networks
(2021)Densification and multi-band operation means inter-frequency handovers can become a bottleneck for mobile user experience in emerging cellular networks. The challenge is aggravated by the fact that there does not exist a ... -
Data Mining Applications in Reservoir Modeling
(2016-08-08)Data science has gained great attentions in many fields over the last decade, in this thesis, I further explored the use of data science technique in oil industry and developed three data mining applications that could be ... -
Data-based Stochastic Network Mitigation
(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 ... -
Data-Driven Analysis of Horizontal Well Performance In The Anadarko Basin Using Digital Well Log Clustering Techniques and Sequence Stratigraphy
(2021-05)Mississippian reservoirs are among the most prolific oil and gas producing reservoirs in the mid-continent. Understanding regionally and locally where Mississippian sweet spots for petroleum exploitation are located is a ... -
A Data-Driven Approach For Monitoring And Predictive Diagnosis Of Sucker Rod Pump System
(2022)Given its long operational history, a sucker-rod pump (SRP) has been widely utilized as a lifting solution to bring reservoir fluids to the surface with low cost and high efficiency. However, debugging the rod pump issues ... -
A data-driven approach for the evaluation of seismicity risks associated with CO2 injection
(2022)This work examined the application of Bayes’ theorem in evaluating the risk of induced seismicity associated with CO2 sequestration in the Arbuckle Group, which extends across the southern Mid-Continent of the US. Geological ... -
DATA-DRIVEN REAL-TIME GEOSTEERING USING SURFACE DRILLING DATA
(2019-12-13)In this thesis I present a method for estimating lithology or deriving formation properties from real-time surface drilling data. This information can then be used to enhance real-time geosteering capabilities. Current ... -
Days of Darkness: The Wichitas in Indian Territory and Kansas, 1859-1867
(2019-12-13)Most of what is known about the history of the Wichita peoples is scattered throughout the works of historians Earl H. Elam and F. Todd Smith, as well as anthropologist W. W. Newcomb, Jr., leaving this historiography of ... -
Decadent Ekphrasis in The Picture of Dorian Gray
(2022-12-16)Oscar Wilde’s The Picture of Dorian Gray, as a novel about aesthetes and decadent artists, has several acts of ekphrasis, the process by which visual art is detailed using a verbal description. Unlike the traditional use ... -
Decentralized Resource Allocation for Interdependent Infrastructure Networks Restoration: A Game Theory Approach
(2020-05)Critical infrastructures are governed by several sectors working together to maintain social, economic and environmental well-being. These infrastructures are interdependent and rely on a complex schedule of repair after ... -
Decision aids in patient-physician communication for supporting shared decision making and patient satisfaction: an experimental study
(2022-08-04)The aim of this study was to explore the effect of the use and style of decision aids on shared decision making and patient satisfaction in patient-physician communication in the context of Generalized Anxiety Disorder ... -
Decision Analysis Tools for Multiobjective Tradeoffs in Project Risk Management
(2016-08)The need to manage project risk, through the use of decision analysis tools and other approaches will only increase in the future. Several statistical methods are applied to simulate, in a project risk environment, a simple ... -
The decision to trust: an application of structural equation modeling to the actor evaluation and trust framework
(2024-05-10)The growing number of crises, from public health crises like COVID-19 to natural disasters like wildfires and hurricanes, has exposed the need for a comprehensive framework to understand how an individual decides who to ... -
Decolonizing humans, ending gender abuse, and sexual violence, from discovery to the twenty-first century and beyond
(2022-05-13)To understand “Decolonizing Humans, Ending Gender Abuse, and Sexual Violence, from Discovery to the Twenty-First Century and Beyond.” We will look at the mechanisms from time immemorial to the present that that buoy ... -
Decolonizing the Concrete Wave: Visual Sovereignty in Native American Skateboarding Culture
(2017-05-12)This thesis focuses primarily on skateboard deck graphics and the cultural and political implications of skateboarding within the context of settler colonialism in the contemporary United States. It examines the intersection ... -
Decolonizing the Indigenous Language Classroom: A Heteroglossia of Ideological Shift in Indigenous Language Revitalization
(2017-05)This thesis examines the language ideologies of three Native American language instructors at the University of Oklahoma, looking specifically at the way these ideologies are seen in their pedagogical methodologies. This ... -
Decomposition Algorithm in Fixed Charge Time-Space Network Flow Problems
(2017-12-15)A wide range of network flow problems primarily used in transportation is categorized as time-space fixed charge network flow (FCNF) problems. In this family of networks, each node is associated with a specific time and ... -
DEEP LEARNING FOR SHALE SEM IMAGE ANALYSIS
(2020)The microstructure of unconventional reservoir rocks not only controls the storage and transport of hydrocarbons but also controls the mechanical properties of the shale. Scanning Electron Microscopy (SEM) has been valuable ... -
Deep Learning for Weak Target Detection in Range-Doppler Data
(2022-05)A consistent issue for detectors in radar systems is how to correctly distinguish target signals from random noise. This is especially true for weak targets with low signal-to-noise ratios (SNRs). Traditional target detection ...