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1. Alternate Representations for Numerical Modeling of Multi-Stage Hydraulically Fractured Horizontal Wells in Shale Gas Reservoirs

open_access
Open Access
Author:
Siripatrachai, Nithiwat
Title:
Alternate Representations for Numerical Modeling of Multi-Stage Hydraulically Fractured Horizontal Wells in Shale Gas Reservoirs
Graduate Program:
Energy and Mineral Engineering
Keywords:
Multi Stage
Shale
Hydraulic Fracture
Horizontal Well
Artificial Neural Network
ANN
Expert System
Gas
File:
Download MS_Thesis_Siripatrachai.pdf
Committee Members:
Turgay Ertekin, Thesis Advisor/Co-Advisor
Turgay Ertekin, Thesis Advisor/Co-Advisor

2. The Development of an Artificial Neural Network as a Pressure Transient Analysis Tool with Application to Multi-lateral Wells in Tight-gas Dual-porosity Reservoirs

open_access
Open Access
Author:
Cox, Jacob Steven
Title:
The Development of an Artificial Neural Network as a Pressure Transient Analysis Tool with Application to Multi-lateral Wells in Tight-gas Dual-porosity Reservoirs
Graduate Program:
Petroleum and Natural Gas Engineering
Keywords:
ANN
Artificial Neural Network
Tight-Gas
Dual-Porosity
Multi-Lateral
Pressure Transient
File:
Download Jacob_Cox_Thesis.pdf
Committee Members:
Turgay Ertekin, Thesis Advisor/Co-Advisor

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

open_access
Open Access
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

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

open_access
Open Access
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