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Start Over Graduate Program Energy and Mineral Engineering Committee Member Turgay Ertekin Keyword neural networks

1. Development of Artificial Expert Reservoir Characterization Tools for Unconventional Reservoirs

open_access
Open Access
Author:
Mohammad Nejad Gharehlo, Amir
Title:
Development of Artificial Expert Reservoir Characterization Tools for Unconventional Reservoirs
Graduate Program:
Energy and Mineral Engineering
Keywords:
neural networks
ann
Reservoir Characterization
well logs
seismic
payzone identification
payzone
net pay
Wolfcamp
File:
Download _thesis_Amir_Nejad2.pdf
Committee Members:
Turgay Ertekin, Dissertation Advisor/Co-Advisor
Luis Ayala, Dissertation Advisor/Co-Advisor
Turgay Ertekin, Committee Chair/Co-Chair
Zuleima T Karpyn, Committee Member
Antonio Nieto, Committee Member
Mirna Urquidi Macdonald, Special Member

2. Numerical Model Representation Of Multi-stage Hydrualically Fractured Horizontal Wells Located In Shale Gas Reservoirs Using Neural Networks

open_access
Open Access
Author:
Bodipat, Kanin
Title:
Numerical Model Representation Of Multi-stage Hydrualically Fractured Horizontal Wells Located In Shale Gas Reservoirs Using Neural Networks
Graduate Program:
Energy and Mineral Engineering
Keywords:
numerical model
simulation
hydraulic fracturing
horizontal well
shale gas
neural networks
ANN
File:
Download MS_Thesis_Bodipat_Kanin.pdf
Committee Members:
Turgay Ertekin, Thesis Advisor/Co-Advisor

3. Well Testing Using Artificial Expert Systems: applications And Limitations

open_access
Open Access
Author:
Alabbad, Mohammed Ali
Title:
Well Testing Using Artificial Expert Systems: applications And Limitations
Graduate Program:
Energy and Mineral Engineering
Keywords:
well testing
neural networks
pressure transient
predict
File:
Download Mohammed_AlAbbad_proposal_v4.pdf
Committee Members:
Turgay Ertekin, Dissertation Advisor/Co-Advisor
Sridhar Anandakrishnan, Committee Member
Luis F Ayala H, Committee Member
Yilin Wang, Committee Member
R Larry Grayson, Special Member

4. INTEGRATION OF NUMERICAL AND MACHINE LEARNING PROTOCOLS FOR COUPLED RESERVOIR-WELLBORE MODELS: A STUDY FOR GAS LIFT OPTIMIZATION

open_access
Open Access
Author:
Putcha, Venkataramana B
Title:
INTEGRATION OF NUMERICAL AND MACHINE LEARNING PROTOCOLS FOR COUPLED RESERVOIR-WELLBORE MODELS: A STUDY FOR GAS LIFT OPTIMIZATION
Graduate Program:
Energy and Mineral Engineering
Keywords:
numerical simulation
machine learning
gas lift
neural networks
petroleum
production
optimization
File:
Download Venkat_Dissertation_Final.pdf
Committee Members:
Turgay Ertekin, Dissertation Advisor/Co-Advisor
Turgay Ertekin, Committee Chair/Co-Chair
Eugene C Morgan, Committee Member
Kamesh Madduri, Committee Member
Sridhar Anandakrishnan, Outside Member