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Author:

Ersahin, Ahmet

Title:

AN ARTIFICIAL NEURAL NETWORK APPROACH FOR EVALUATING THE PERFORMANCE OF CYCLIC STEAM INJECTION IN NATURALLY FRACTURED HEAVY OIL RESERVOIRS

Graduate Program:

Energy and Mineral Engineering

Keywords:

Artificial Neural Network
cyclic steam injection
cyclic steam stimulation
ann
csi
css
thermal eor

File:

Download Ahmet_Ersahin_Thesis_11.18.16.pdf

Committee Members:

Turgay Ertekin, Thesis Advisor/Co-Advisor
Yilin Wang, Committee Member
Hamid Emami-Meybodi, Committee Member

Author:

Zhang, Zhenzihao

Title:

Predicting Petrophysical Properties From Rate-Transient Data: An Artificial Intelligence Application

Graduate Program:

Petroleum and Mineral Engineering

Keywords:

Relative Permeability
Capillary Pressure
Permeability
Artificial Neural Network
Rate-Transient Data
Petrophysical Properties

File:

Download Dissertation_ZhenzihaoZhang_20170713.pdf

Committee Members:

Turgay Ertekin, Dissertation Advisor/Co-Advisor
Turgay Ertekin, Committee Chair/Co-Chair
John Yilin Wang, Committee Member
Hamid Emami-Meybodi, Committee Member
Ming Xiao, Outside Member

Author:

Sankara Raman, Gireesh Subramaniam

Title:

Evaluation and Modeling of Pressure Filtration of Coal Refuse Slurry

Graduate Program:

Energy and Mineral Engineering

Keywords:

Coal Refuse Slurry
Pressure Filtration
Artificial Neural Network
Waste Management
Dewatering
Coal
Fine Coal
Mineral Processing

File:

Download Gireesh_Raman_Dissertation.pdf

Committee Members:

Dr. Mark S. Klima, Dissertation Advisor/Co-Advisor
Dr. Mark S. Klima, Committee Chair/Co-Chair
Dr. William A. Groves, Committee Member
Dr. Jeremy M. Gernand, Committee Member
Dr. Herschel A. Elliott, Outside Member

Author:

Enab, Khaled Ahmed

Title:

ARTIFICIAL NEURAL NETWORK BASED DESIGN PROTOCOL FOR WAG IMPLEMENTATION IN CO2 INJECTION USING FISHBONE WELLS IN LOW PERMEABILITY Oil RESERVOIRS

Graduate Program:

Energy and Mineral Engineering

Keywords:

Enhanced Oil Recovery
WAG
CO2 Injection
Unconventional Oil Reservoirs
Tight Oil Reservoirs
Artificial Neural Network
Machine Learning

File:

Download Khaled_Enab_Dissertation.pdf

Committee Members:

Turgay Ertekin, Dissertation Advisor/Co-Advisor
Turgay Ertekin, Committee Chair/Co-Chair
Sanjay Srinivasan, Committee Member
Gregory R King, Committee Member
Sridhar Anandakrishnan, Outside Member

Author:

Sun, Yanbo

Title:

An Experimental Analysis of Predictive Coding Based On Artificial Neural Networks for Image Decoding

Graduate Program:

Computer Science and Engineering

Keywords:

Artificial Neural Network
Image Decoding
Predictive Coding
Spatial Redundancies

File:

Download Yanbo_Sun_Thesis.pdf

Committee Members:

Clyde Lee Giles, Thesis Advisor/Co-Advisor
Jesse Louis Barlow, Committee Member

Author:

Zhong, Xuwei

Title:

Pressure Transient Analysis of Shale Gas Reservoirs with Horizontal Boreholes: An Artificial Intelligence Based Approach

Graduate Program:

Energy and Mineral Engineering

Keywords:

Artificial Neural Network
Pressure Transient Analysis
ANN
PTA
Shale Gas Reservoir

File:

Download Zhong_Thesis.pdf

Committee Members:

Turgay Ertekin, Thesis Advisor/Co-Advisor

Author:

Abdullah, Mohammad B

Title:

DEVELOPMENT AND APPLICATION OF AN ARTIFICIAL-NEURAL-NETWORK-BASED ANALYSIS AND DESIGN TOOL FOR CHEMICAL ENHANCED OIL RECOVERY (ALKALINE-SURFACTANT-POLYMER) FIELD IMPLEMENTATIONS

Graduate Program:

Energy and Mineral Engineering

Keywords:

ANN
EOR
cEOR
Enhanced Oil Recovery
Machine Learning
Artificial Neural Network
Field Implementation

File:

Download Mohammad_Abdullah_final.pdf

Committee Members:

Hamid Emami-Meybodi, Thesis Advisor/Co-Advisor
Turgay Ertekin, Thesis Advisor/Co-Advisor
Gregory R King, Committee Member

Author:

Garcia, Miguel

Title:

Insights on the use of Machine Learning to Predict Retention of Career Soldiers in the United States Army

Graduate Program:

Data Analytics (MS)

Keywords:

Artificial Intelligence
Machine Learning
AI
Deep Learning
Decision Tree
Logistic Regression
Random Forest
XGBoost
Artificial Neural Network
Deep Neural Network
U.S. Army
Military
Attrition
Retention
Person-Event Data Environment
PDE
Department of Defense
DoD
Army Analytics Group
AAG
Naive Bayes
Active Duty
Enlistment
Commissioned Officers
Soldiers
Area Under the Curve
AUC
Data Analytics
Retirement
MEDPROS
PHA
MEPCOM
DTMS
ATMS
ROC Curve
Variable Importance
Preprocessing
Data Quality

File:

Download Insights_on_the_use_of_AI_to_Predict_Retention_of_Career_Soldiers_in_the_US_Army.pdf

Committee Members:

Colin Neill, Program Head/Chair
Partha Mukherjee, Thesis Advisor/Co-Advisor
Guanghua Qiu, Committee Member
Youakim Badr, Thesis Advisor/Co-Advisor