Other Engineering Commons^™

Machine-Learning-Assisted Design Of Deep Eutectic Solvents Based On Uncovered Hydrogen Bond Patterns, Usman Lame Abbas, Yuxuan Zhang, Joseph Tapia, Md Selim, Jin Chen, Jian Shi, Qing Shao

Markey Cancer Center Faculty Publications

Non-ionic deep eutectic solvents (DESs) are non-ionic designer solvents with various applications in catalysis, extraction, carbon capture, and pharmaceuticals. However, discovering new DES candidates is challenging due to a lack of efficient tools that accurately predict DES formation. The search for DES relies heavily on intuition or trial-and-error processes, leading to low success rates or missed opportuni- ties. Recognizing that hydrogen bonds (HBs) play a central role in DES formation, we aim to identify HB features that distinguish DES from non-DES systems and use them to develop machine learning (ML) models to discover new DES systems. We first analyze the …

Application Of High-Resolution Fiber Optic Data To Enhance Completion Design, Christian J. Pacheco

Graduate Theses, Dissertations, and Problem Reports (ETD)

MS Dissertation Defense

By

Christian Pacheco

Title: Application of High-Resolution Fiber Optic Data to Enhance Completion Design Major: Petroleum and Natural Gas Engineering Date: Thursday, April 18, 2024 Time: 4:00 PM Place: 141 Engineering Science Building

Abstract

Well stimulation is a technique that has been used in the industry for decades, and with the ability to drill wells horizontally the practice has become more valuable and effective than ever before. Its use is consistently being optimized and completions design plays a crucial role in the recovery of hydrocarbons. Several different downhole tools and measurements have been used to optimize these …

Machine Learning-Driven Quantification Of Co₂ Plume Dynamics At Ibdp Sites Using Microseismic Data, Ikponmwosa Bright Iyegbekedo

Graduate Theses, Dissertations, and Problem Reports (ETD)

This thesis delves into the utilization of machine learning methodologies to quantify the spatial extent of CO₂ plumes by leveraging microseismic data obtained from the Illinois Basin Decatur Project (IBDP) site spanning November 2011 to June 2018. This initiative, focused on the geological sequestration of carbon dioxide, furnishes a unique and comprehensive dataset comprising well logs, microseismic activity records, and CO₂ injection metrics, all crucial for quantifying the subsurface CO₂ saturation plume dynamics. The primary objective is to forecast the temporal evolution of CO₂ saturation plumes in the subsurface, a critical undertaking for ensuring both the environmental integrity and operational …

The Impact Stress On The Fracture Conductivity And The Productivity Of The Marcellus Shale Horizontal Well, Simon Hanna Menhem

Graduate Theses, Dissertations, and Problem Reports (ETD)

The increase in effective stress during depletion adversely impacts the productivity of the multi-stage fractured Marcellus shale horizontal well. The geomechanical properties and proppant size influence the degree of shale compaction, the fracture conductivity, and the well productivity. This study seeks to assess the impact of net stress increase during depletion on the productivity of multi-stage fractured Marcellus shale horizontal wells. To investigate the impact of the net stress increase, a model for Bogges-5H well was developed based on the petrophysical and geomechanical properties of the shale obtained from the core plugs and well logs measurements from the pilot (Bogges …

Draft Makerspace Optimization And Procedure For The University Of Northern Iowa And Cedar Falls, Andrew Nii Anang

Graduate Research Papers

The University of Northern Iowa (UNI) Makcrspace is a dynamic, communal setting created to encourage members of the community at large to be creative, innovative and engage in hands-on learning. Access to a variety of hand and power tools as well as state-of-the-art technologies is available at this cutting-edge facility. The Makerspace promotes a culture of experimentation and entrepreneurship while offering assistance for multidisciplinary initiatives. The Makerspace incorporates real-world, project-based learning experience, greatly improving UNI's educational environment. It enhances the university's reputation for encouraging innovation and research by drawing in potential students and community members who are interested in cutting-edge …

Analysis Of Shoreline Erosion At Cumberland Island Using Advanced Circulation (Adcirc) Modeling, Christopher Harrigan

UNF Graduate Theses and Dissertations

This study investigates shoreline erosion at Brickhill Bluff along the Brickhill River in Cumberland Island National Seashore using ADCIRC. Two scenarios were modeled during this research: bed stresses during regular tidal cycles and bed stresses during worst-case storm (i.e., hurricane) conditions. Velocities from these models were used to compute bed shear stresses and these stresses were compared to site’s sediment critical shear stress. Results appear to show that a meander in the Brickhill River causes relatively high (i.e., on the order of 0.27 ��/��² ) shear stresses during regular tidal cycles and even higher (i.e., on the order of …

Initial Solution Improvements To A Tethered Robotic Path Planner Using Random Geometric Graph Configurations And Biased Sampling, Austen J. Goddu

Dissertations, Master's Theses and Master's Reports

With NASA's ongoing efforts to establish a presence on the lunar surface to eventually move on to exploring mars, the development of intelligent robotic systems is more important than ever. The ability of robotics to explore hazardous and extreme terrain, coupled with long communication times from earth places an ever increasing need on more robust and efficient autonomy. Tethered robotics offer unique advantages to explore scientific targets both on the lunar and martian surfaces, capable of using their tether as a physical or metaphorical lifeline to allow the exploration of slopes, extreme dark regions, or areas in which wireless communication …