1. 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 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: ANNEORcEOREnhanced Oil RecoveryMachine LearningArtificial Neural NetworkField Implementation File: Download Mohammad_Abdullah_final.pdf Committee Members: Hamid Emami-Meybodi, Thesis Advisor/Co-AdvisorTurgay Ertekin, Thesis Advisor/Co-AdvisorGregory R King, Committee Member
2. Application of Data Driven Machine Learning Methodologies for Predicting Reamining Useful Life of Equipment 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 LearningRemaining useful life estimationturbofan engineOil and gas equipment File: Download MS-thesis-ZihanRen.pdf Committee Members: Sanjay Srinivasan, Thesis Advisor/Co-AdvisorMort D Webster, Committee MemberEugene C Morgan, Committee MemberSanjay Srinivasan, Program Head/Chair