Other Engineering Commons^™

Using Ai And Machine Learning To Indicate Shale Anisotropy And Assist In Completions Design, Cole E. Palmer

Graduate Theses, Dissertations, and Problem Reports (ETD)

Operating companies in the unconventional Marcellus shale play have all faced a similar and problematic issue, while attempting to produce natural gas over the last decade. Companies have quickly realized that not every perforation along their horizontal wells are producing gas. In fact, producing perforations are only ranging from 15%-70% of the total perforations along the horizontal wellbore [1]. This unexplained issue results in millions of dollars in lost revenue per well, in addition to the sunk cost of paying for completions that are not actually yielding any produced gas.

What is causing these perforations to have no produced gas? …

Deep Learning Based Face Detection And Recognition In Mwir And Visible Bands, Suha Reddy Mokalla

Graduate Theses, Dissertations, and Problem Reports (ETD)

In non-favorable conditions for visible imaging like extreme illumination or nighttime, there is a need to collect images in other spectra, specifically infrared. Mid-Wave infrared (3-5 microm) images can be collected without giving away the location of the sensor in varying illumination conditions. There are many algorithms for face detection, face alignment, face recognition etc. proposed in visible band till date, while the research using MWIR images is highly limited. Face detection is an important pre-processing step for face recognition, which in turn is an important biometric modality. This thesis works towards bridging the gap between MWIR and visible spectrum …

Top-Down Model Development Using Data Generated From A Complex Numerical Reservoir Simulation With Water Injection, Yvon Andrea Martinez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Numerical simulation and data-driven modeling are two current approaches in engineering reservoir modeling. Numerical reservoir simulation attempts to match past production history by modifying reservoir properties of the model. After multiple computationally intensive trial and error efforts, accurate history matches are identified. These history matches are used by project management for production forecasting purposes. Data-driven reservoir modeling utilizes measured data and is, therefore, free of assumptions that are often included in numerical reservoir simulations. Artificial intelligence and machine learning algorithms are technologies implemented in the development of a data-driven reservoir model with efforts to learn fluid flow through porous media …

Performance Study Of Five Different Cabin Air Filters In The Laboratory And On-Road Drive, Fahad Alqahtani

Graduate Theses, Dissertations, and Problem Reports (ETD)

One of the aims of installing ventilation filters in a car is to prevent vehicle occupants from inhaling potentially harmful aerosols emanating from the environment. Vehicle cabin filters are essential in ensuring that a vehicle's air conditioning system provides clean air to its occupants. The purpose of the cabin filter is to improve air quality inside the car to provide better comfort and better protect occupants from experiencing unwanted respiratory problems. Using cabin filters in air conditioning systems is a common practice in modern vehicle manufacturing. Scientists and engineers are continually seeking new ways of improving the efficiency and effectiveness …

Green Completion As A Mitigation For Btex Exposure In Gas Flaring: Nigeria Case Study (Exposure Assessment And Cost Model), Akintunde S. Akinyemi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gas flaring is an essential part of the oil and gas industry safety and waste management procedures; however, it presents a potential exposure to BTEX compounds, a group of Non-Methane Volatile Organic Compounds (NMVOC), within up to a 10-mile radius of the flare point. The physical and the psychological cost of the journey to work, make employees live close to the workplace. This study examined the perceived exposure of oil and gas industry workers to possible carcinogenic emissions outside the workplace. It looked at the outcomes of the exposure to BTEX through gas flaring drawing on archival data and using …

Household’S Willingness (Wtp) To Pay To The Utility, Rakhshinda Bano, Mehdi Khiadani, Steven Burian

Research Datasets

The dataset contains the water use at household level, payments to the utility and household income.

A Direct Data-Cluster Analysis Method Based On Neutrosophic Set Implication, Florentin Smarandache, Sudan Jha, Gyanendra Prasad Joshi, Lewis Nkenyereya, Dae Wan Kim

Branch Mathematics and Statistics Faculty and Staff Publications

Raw data are classified using clustering techniques in a reasonable manner to create disjoint clusters. A lot of clustering algorithms based on specific parameters have been proposed to access a high volume of datasets. This paper focuses on cluster analysis based on neutrosophic set implication, i.e., a k-means algorithm with a threshold-based clustering technique. This algorithm addresses the shortcomings of the k-means clustering algorithm by overcoming the limitations of the threshold-based clustering algorithm. To evaluate the validity of the proposed method, several validity measures and validity indices are applied to the Iris dataset (from the University of California, Irvine, Machine …

Estimation Of Atmospheric Conditions Over A Long Horizontal Path Using Multi-Frame Blind Deconvolution (Mfbd) Techniques In Comparison With Delayed Tilt Anisoplanatism (Delta) Software, Hannah Stoll

Dissertations, Master's Theses and Master's Reports

The potential to track and view objects in space from the ground with greater near real time knowledge of the intervening turbulence would be a revolutionary capability. The objective of this thesis is to cross-validate two separate methods used to estimate the Fried parameter. This verification is a step toward a commercial grade product that would make real-time estimates of the turbulence strength along an optical path from a ground-based observatory to a satellite in orbit around the Earth. Michigan Technological University has developed a multi-frame blind deconvolution (MFBD) algorithm used to estimate r0 and it was tested against MZA’s …

Reinventing High School: Understanding The Challenges And Successes Of Transforming Education To Meet Student, Society, And Industry Needs, Scott R. Bartholomew, Greg J. Strimel, Anne M. Lucietto, Mesut Akdere

Faculty Publications

Efforts to revamp existing educational systems and approaches result in various new models in STEM education. Accordingly, a new urban public charter school, located in a Midwest state in the United States, was established in partnership with the state’s land-grant university to create a transformed integrated STEM educational environment characterized by industry-focused and design-based learning to help prepare students for the future of work and learning. This article presents findings from an exploratory study that examined the experiences of teachers and administrative staff of this innovative high school (IHS) during the first year of school operation. A purposive sample of …