1. Prediction of Frictional Pressure Drop in Flowing Deviated Gas Condensate Wells through Utilization of Artificial Neural Networks Open Access Author: Seren, Doruk Title: Prediction of Frictional Pressure Drop in Flowing Deviated Gas Condensate Wells through Utilization of Artificial Neural Networks Graduate Program: Petroleum and Natural Gas Engineering Keywords: Production EngineeringReservoir EngineeringArtificial Neural NetworksANN File: Download MScThesisDS_4-21-08.pdf Committee Members: Turgay Ertekin, Thesis Advisor/Co-Advisor
2. Development of an Artificial Expert System for Estimating the Rate of Growth of Gas Cone Open Access Author: Sharma, Shashank Rakesh Title: Development of an Artificial Expert System for Estimating the Rate of Growth of Gas Cone Graduate Program: Petroleum and Natural Gas Engineering Keywords: Gas coneANN File: Download Final_Thesis.pdf Committee Members: Turgay Ertekin, Thesis Advisor/Co-AdvisorTurgay Ertekin, Thesis Advisor/Co-Advisor
3. CONDUCTING IN-SITU COMBUSTION TUBE EXPERIMENTS USING ARTIFICIAL NEURAL NETWORKS Open Access Author: Bansal, Yogesh Title: CONDUCTING IN-SITU COMBUSTION TUBE EXPERIMENTS USING ARTIFICIAL NEURAL NETWORKS Graduate Program: Petroleum and Natural Gas Engineering Keywords: In-situ combustion experimentheavy oil recoveryANN File: Download MS-Thesis-YogeshBansal.pdf Committee Members: Turgay Ertekin, Thesis Advisor/Co-AdvisorTurgay Ertekin, Thesis Advisor/Co-AdvisorMajid Al Wadhahi, Thesis Advisor/Co-Advisor
4. Engineering design considerations to maximize carbon dioxide injectivity in deep saline formations Open Access Author: Sun, Qian Title: Engineering design considerations to maximize carbon dioxide injectivity in deep saline formations Graduate Program: Petroleum and Natural Gas Engineering Keywords: Carbon geological sequestrationdeep saline formationhorizontal injectorMonte Carlo SimulationANN File: Download Qian_Sun_Master_Thesis_Final_Version.pdf Committee Members: Turgay Ertekin, Thesis Advisor/Co-Advisor
5. 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 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: ANNArtificial Neural NetworkTight-GasDual-PorosityMulti-LateralPressure Transient File: Download Jacob_Cox_Thesis.pdf Committee Members: Turgay Ertekin, Thesis Advisor/Co-Advisor