Modeling, Control, and Optimization of Natural Gas Processing Plants

Modeling, Control, and Optimization of Natural Gas Processing Plants presents the latest on the evolution of the natural gas industry, shining a light on the unique challenges plant managers and owners face when looking for ways to optimize plant performance and efficiency, including topics such as the various feed gas compositions, temperatures, pressures, and throughput capacities that keep them looking for better decision support tools.

The book delivers the first reference focused strictly on the fast-growing natural gas markets. Whether you are trying to magnify your plants existing capabilities or are designing a new facility to handle more feedstock options, this reference guides you by combining modeling control and optimization strategies with the latest developments within the natural gas industry, including the very latest in algorithms, software, and real-world case studies.

• Acknowledgment
• Chapter 1. Introduction to Natural Gas Processing Plants
  • 1.1. Introduction
  • 1.2. Natural Gas Processing Objectives
  • 1.3. Gas Processing Plant Configurations
  • 1.4. Gas Plant Support Systems
  • 1.5. Optimal Design and Operations of Natural Gas Processing Plants
• Chapter 2. Process Modeling and Simulation
  • 2.1. Introduction
  • 2.2. Thermodynamics
  • 2.3. Steady-State Versus Dynamic Models
  • 2.4. Simulation Objectives Versus Modeling Effort
  • 2.5. Process Simulation Approaches
  • 2.6. Process Simulation Best Practices
  • 2.7. Case Studies
• Chapter 3. Process Control
  • 3.1. Dynamic Process Characteristics
  • 3.2. Control System Components
  • 3.3. Closed-Loop Control
  • 3.4. Degrees of Freedom
  • 3.5. Control Loop Tuning
  • 3.6. Individual Unit Operation Control and Optimization Strategies
• Chapter 4. Process Optimization
  • 4.1. Introduction
  • 4.2. Types of Optimization
  • 4.3. Conventional Optimization Techniques
  • 4.4. Limitations of Optimization
  • 4.5. Methods of Optimization
  • 4.6. Advanced Optimization Techniques
  • 4.7. Dynamic Optimization
  • 4.8. Real-Time Optimization
  • 4.9. Process Optimization Case Study
• Appendix A. Basic Principles of Control Valves
• Appendix B. Process Measurement and Instrumentation
• Index