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
Development of an Artificial Neural Network for Pressure and Rate Transient Analysis of Horizontal Wells Completed in Dry, Wet and Condensate Gas Reservoirs of Naturally Fractured Formations
Turgay Ertekin, Thesis Advisor/Co-Advisor Sanjay Srinivasan, Program Head/Chair Zuleima T Karpyn, Committee Member Hamid Emami-Meybodi, Committee Member
DEVELOPMENT OF AN ARTIFICIAL NEURAL NETWORK BASED EXPERT SYSTEM TO DETERMINE THE LOCATION OF HORIZONTAL WELL IN A THREE-PHASE RESERVOIR WITH A SIMULTANEOUS GAS CAP AND BOTTOM WATER DRIVE
DEVELOPMENT AND APPLICATION OF AN ARTIFICIAL-NEURAL-NETWORK-BASED ANALYSIS AND DESIGN TOOL FOR CHEMICAL ENHANCED OIL RECOVERY (ALKALINE-SURFACTANT-POLYMER) FIELD IMPLEMENTATIONS