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Embedding Reservoir Physics into Machine Learning
(2022-06-27)
The aim of this thesis is to explore and develop proxy models for a petroleum reservoir numerical simulator based on scientific machine learning methods. Numerical reservoir simulation is an essential tool used in all ...
Analysis and Quantification of Orbital Fractures: An Artificial Intelligence-Based Approach
(2022-07-29)
Trauma to the orbital region accounts approximately for 3% of all craniofacial injuries, with a mean hospitalization cost of US$ 35,500 per case. Management of orbital fractures is challenging as a substantial amount of ...
Machine Learning Workflows for Detection of High Water Cut Unconventional Wells Using Petrophysical Logs
(2021-07-27)
For many years, high water-cuts in the Delaware basin have been the source of much frustration for oil and gas operators producing in the region. The goal of this thesis was to construct automated workflows which are capable ...
Data Driven Interatomic Potential Development
(2022-08-17)
The advancements in materials have driven significant progress in humanity which is largely enabled by a deeper understanding of fundamental materials science. For materials, the potential energy surface of the atomistic ...
Multi-agent Reinforcement Learning for Coordinated Production Scheduling
(2022-08-22)
This work examines the application of multi-agent reinforcement learning (MARL) for production scheduling in a real-world two-stage chemical production system found in industry. Improvement and automation of these scheduling ...
Pre- and Postharvest Effects on Coffee Quality
(2022-12-08)
Despite increasing global specialty coffee consumption, smallholder growers still lack evidence-based strategies for improved coffee quality. Improving the flavor potential of the coffee beverage can translate into a livable ...
Source Rock Reconstruction and Hydrocarbon Mass Balance Assessment – Applied to the Wolfcamp Formation in the Permian Delaware Basin
(2022-12-07)
Improved efficiency of hydrocarbon resources exploration is directly linked to an accurate petroleum system analysis, including detailed quantification of hydrocarbon (HC) masses involved in a basin from generation to ...
Investigation of Fluid Phase Behavior in Shale Reservoirs Using Equation of State, Molecular Simulation and Machine Learning
(2023-03-28)
Fluid phase behavior in shale reservoirs differs significantly from phase behavior in conventional reservoirs due to the strong interactions between fluid and boundary in nanopores. In this study, we applied equation-of-state ...
A Machine Learning Combined In Silico Approach for the Identification of Fungicide Combinations Targeting Plasmopara Viticola and Botrytis Cinerea Fungicide Resistance
(2023-03-21)
Downy mildew (caused by Plasmopara viticola) and Grey Mold (caused by Botrytis cinerea) are fungal diseases that significantly impact grape production globally. Cytochrome b plays a significant role in the mitochondrial ...
Data-Efficient Design and Analysis Methodologies for Computer and Physical Experiments
(2023-04-04)
Data science for experimentation, including the rapidly growing area of the design and analysis of computer experiments, aims to use statistical approaches to collect and analyze (physical or virtual) experimental responses ...