Process Modeling, Control And Optimization In Gas Processing Industry

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Format: Hardcover
Pub. Date: 2009-06-25
Publisher(s): Butterworth-Heinemann
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Summary

Natural gas use is growing rapidly worldwide. There are several reasons the first being that natural gas requires less processing than oil for heating and energy operations. The second is that gas is more environmentally friendly, and finally gas can be transported via a pipeline or in a liquified form as LNG. Because of the demands of this expanding industry, petroleum engineers need a book focusing on the natural gas market, guiding them step-by-step by case studies and practical approaches. The book, Process Modeling, Control and Optimization in the Gas Processing Industry is essential for maximizing process efficiency and profitability in the gas industry. It covers only the critical concepts required to efficiently process and move natural gas from its sources to the consumer. Emphasis is placed on the applications of simulation and optimization to solve real-world problems. Readers are able to use this information to develop and implement advanced control strategies to achieve objectives of throughput maximization, energy minimization, and improved quality control. * Timely book that addresses the enormous industry shift from oil to natural gas * Assumes reader knowledge of fundamentals and focuses strictly on process control applications * Case Studies provide examples of best practice in the field

Table of Contents

Introduction to Process Modeling and Simulation
Dynamic Process Characteristics (Capacitance and Dead-time)
Improve Plant Operability and Control through Simulation
Introduction to Process Control
Feedback Control Loops
Conventional Controller Modes
Advanced Regulatory Controls
Practical Controller Tuning
Individual Unit Operation Control Schemes
Distillation Dynamics and Control
Introduction to Advanced Control and Optimization
Advanced Control Concepts
Multivariable Process Identification
Implementing a Plant-wide Control Strategy
Industrial Model Predictive Control
Control and Optimization of Nonlinear Systems
Advanced Process Control and Real Time Optimization
Process Modeling Considerations for Real Time Optimization
Application of Multivariable Control and Optimization to Gas Process Operations
Case Studies
Multivariable Control and Optimization of NGL Fractionators
Multivariable Control and Optimization of Turboexpander Plants
Multivariable Control and Optimization of Amine Treating and Sulfur Recovery Operations
Compressor Multivariable Control and Optimization
Multivariable Control and Optimization of Condensate Stabilizers
Table of Contents provided by Publisher. All Rights Reserved.

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