Modeling, Control, and Optimization of Natural Gas Processing Plants

by William A. Poe, Saeid Mokhatab

Overview

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.

• Helps users adapt their natural gas plant quickly with optimization strategies and advanced control methods
• Presents real-world application for gas process operations with software and algorithm comparisons and practical case studies
• Provides coverage on multivariable control and optimization on existing equipment
• Allows plant managers and owners the tools they need to maximize the value of the natural gas produced

Product Details

ISBN-13:	9780128029817
Publisher:	Elsevier Science
Publication date:	09/09/2016
Sold by:	Barnes & Noble
Format:	eBook
Pages:	300
File size:	26 MB
Note:	This product may take a few minutes to download.

About the Author

William A. “Bill” Poe is a Senior Principal Technical Consultant at AVEVA, the United States. He has over 35 years of international business and industrial experience in design, operations and project management of gas processing plants with a special focus on automation, multivariable predictive control (MPC), advanced process control (APC), optimization design and implementation, and real-time performance monitoring. Bill started his career at Shell Oil Company, USA, in 1981, working over a decade in natural gas processing plants operations and engineering as well as management of multimillion-dollar projects. In 1993, he joined Continental Controls to lead the process engineering department in support of executing contracts with the Gas Research Institute, USA, where he developed new multivariable control applications in the natural gas industry. After joining GE as part of the Continental Controls acquisition, he became vice president of this division of GE where his responsibilities included direction of product development, projects, technical sales support, and customer service for multivariable control and optimization applications in the natural gas industry. In 2001, Bill joined Invensys Process Systems, USA, where he has developed APC and Optimization Master Plans for international companies such as Saudi Aramco, ADNOC, Statoil, and PDVSA, as well as automation and advanced process control feasibility studies for over 100 natural gas processing plants worldwide. After Schneider Electric acquired Invensys Process Systems in 2014 and merged its software division with AVEVA in 2018, he has continued to work with the top gas processing companies. Bill is an Associate Editor of the Journal of Natural Gas Science&Engineering, has authored or co-authored more than 60 technical papers, and made numerous technical presentations at prestigious international conferences. He received the GE Innovators Award in 1999 and attained the Invensys Circle of Excellence in 2011.

Dr. Saeid Mokhatab is an internationally renowned process expert in the fields of natural gas transmission and processing. Over the past two decades, he has been actively involved in different phases of several large-scale projects in the natural gas midstream sector, from conceptual design through facilities startup and operational support. He has also provided consulting services and expert guidance to a number of pioneering technology-based and operating companies in Canada and Europe. He has made significant contributions to his areas of expertise through four reference books (published by Elsevier in the USA) and more than 300 technical papers, many of which have been coauthored with leading experts from the largest international engineering companies and prominent process licensors. To bridge the gap between engineering and the science of natural gas, he founded Elsevier’s peer-reviewed “Journal of Natural Gas Science and Engineering” which has become a leading publication in the field. He has been an editorial contributor for the 14th edition of the GPSA Engineering Data Book, and has served on the editorial or advisory boards of several other notable publications pertaining to the midstream business. He is a lifetime member of the Society of Petroleum Engineers (SPE), and has served that organization in various capacities, including as a board member of the London Section. He has also been active in other professional organizations, including the Gas Processors Association Europe (GPAE) and the American Society of Mechanical Engineers (ASME). He has delivered several invited lectures and short courses for both commercial and academic institutions, and has served on the technical program and advisory committees of many acclaimed midstream gas conferences worldwide. He has received several international awards for his outstanding work and has been featured in a number of prestigious biographical directories.

Table of Contents

1. Introduction to Natural Gas Processing Plants2. Process Modeling and Simulation3. Process Control4. Process Optimization

What People are Saying About This

From the Publisher

Maximize utilization of your natural gas plant with this must-have modeling and simulation reference that 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