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Start Over Graduate Program Energy and Mineral Engineering Year 2020 Keyword Machine Learning

1. Application of Data Driven Machine Learning Methodologies for Predicting Reamining Useful Life of Equipment

open_access
Open Access
Author:
Ren, Zihan
Title:
Application of Data Driven Machine Learning Methodologies for Predicting Reamining Useful Life of Equipment
Graduate Program:
Energy and Mineral Engineering
Keywords:
Machine Learning
Remaining useful life estimation
turbofan engine
Oil and gas equipment
File:
Download MS-thesis-ZihanRen.pdf
Committee Members:
Sanjay Srinivasan, Thesis Advisor/Co-Advisor
Mort D Webster, Committee Member
Eugene C Morgan, Committee Member
Sanjay Srinivasan, Program Head/Chair

2. Modeling Natural Fracture Networks Using Improved Geostatistical and Geomechanical Inferences

open_access
Open Access
Author:
Chandna, Akshat
Title:
Modeling Natural Fracture Networks Using Improved Geostatistical and Geomechanical Inferences
Graduate Program:
Energy and Mineral Engineering
Keywords:
Fracture Characterization
Multiple Point Statistics
Geostatistics
Geomechanics
Machine Learning
Stochastic Simulation
Modeling Natural Fracture Networks
Teapot Dome
File:
Download Dissertation_Document_AkshatChandna.pdf
Committee Members:
Sanjay Srinivasan, Dissertation Advisor/Co-Advisor
Sanjay Srinivasan, Committee Chair/Co-Chair
Zuleima T Karpyn, Committee Member
Hamid Emami-Meybodi, Committee Member
Chris J Marone, Outside Member
Mort D Webster, Committee Member
Mort D Webster, Program Head/Chair