Background
Ramirez, W. Fred was born on February 19, 1941 in New Orleans. Son of Walter Frederick and Elza Welch Ramirez.
(With today's competition in the high-tech industries, and...)
With today's competition in the high-tech industries, and the continuing need for material and energy conservation, hazard free operation, and environmentally safe discharges, it has become increasingly important todevelop and apply methodologies and techniques that lead to improved performance and operations. Process Control and Identification presents the time domain approach to modern process control, which allows for the formulation of precise performanceobjectives that can be extremized. Important topics covered include model predictive control from an optimal control point of view, the use of state and parameter identification for implementation of optimal adaptive control, a variational approach to development of necessary conditionsfor defining optimal control problems, and the treatment of both regulatory control and time optimal control for industrial processes. Practical examples are given throughout to illustrate theoretical concepts. MATLAB, the software package that enables the solution of many optimal control problems, is used for the solution of many text examples. Computational issues as well as interpretation of results are stressed. Exercises are provided at the end of each chapter to facilitate self-study and as use as atext. With its comprehensive coverage and many examples, Process Control and Identification will be a valuable resource for practicing process control engineers and students. Variational approach to process optimal control Comprehensive treatment of optimal regulatory control including measurable, unmeasurable, and partially measurable load disturbances Treatment of optimal process control problems linear in the control variables leading to bang-bang control laws Presents discrete optimal control problems important to computer control algorithms Develops process identification algorithms from a variational perspective Use of sequential least squares for parameter identification. Applications of the linear quadratic Gaussian problem (LQG) for the adaptive control of uncertain processes Illustrative practical process examples throughout the text, many using MATLAB(r) software Over 60 exercises to facilitate self-study and use as a text
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(In recent years, enhanced oil recovery techniques have re...)
In recent years, enhanced oil recovery techniques have received much attention in the oil industry. Enhanced oil recovery methods can be divided into three major categories: thermal processes which include steam flooding, steam stimulation, and in-situ combustion; chemical processes which include surfactant-polymer injection, polymer flooding, and caustic flooding; and miscible displacement processes which include miscible hydrocarbon displacement, carbon dioxide injection of large amounts of rather expensive fluids into oil bearing reservoir formations. Commercial application of any enhanced oil recovery process relies upon economic projections that show a decent return on the investment. Because of high chemical costs, it is important to optimize enhanced oil recovery processes to provide the greatest recovery at the lowest chemical injection cost. The aim of this book is to develop an optimal control theory for the determination of operating strategies that maximize the economic attractiveness of enhanced oil recovery processes. The determination of optimal control histories or operating strategies is one of the key elements in the successful usage of new enhanced oil recovery techniques. The information contained in the book will therefore be both interesting and useful to all those working in petroleum engineering, petroleum management and chemical engineering.
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(Process Modelling and simulation have proved to be extrem...)
Process Modelling and simulation have proved to be extremely successful engineering tools for the design and optimisation of physical, chemical and biochemical processes. The use of simulation has expanded rapidly over the last two decades because of the availability of large high-speed computers and indeed has become even more widespread with the rise of the desk-top PC resources now available to nearly every engineer and student. In the chemical industry large, realistic non-linear problems are routinely solved with the aid of computer simulation. This has a number of benefits, including easy assessment of the economic desirability of a project, convenient investigation of the effects of changes to system variables, and finally the introduction of mathematical rigour into the design process and inherent assumptions that may not have been there before. 'Computational Methods for Process Simulation' develops the methods needed for the simulation of real processes to be found in the process industries. It also stresses the engineering fundamentals used in developing process models. Steady state and dynamic systems are considered, for both spatially lumped and spatially distributed problems. It develops analytical and numerical computational techniques for algebraic, ordinary and partial differential equations, and makes use of computer software routines that are widely available. Dedicated software examples are available via the internet. Written for a compulsory course element in the US Includes examples using software used in academia and industry Software available via the Internet
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Ramirez, W. Fred was born on February 19, 1941 in New Orleans. Son of Walter Frederick and Elza Welch Ramirez.
Bachelor of Science, Tulane University, 1962. Master of Science, Tulane University, 1964. Doctor of Philosophy, Tulane University, 1965.
Assistant professor department chemical engineering University Colorado, Boulder, 1965-1970, associate professor, 1970-1975, professor, 1975—2007, chairman department chemical engineering, 1972—1980, 1989—1992, 1997—1998, 2002—2003. Visiting scientist Institut Francaise du Petrole, Rueil-Malmaison, France, 1976-1977. Visiting professor department chemical engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 1985-1986, departments engineering and chemical engineering Cambridge (England) University, 1992-1993, 2006, department chemical engineering University Newcastle, Australia, 2001-2002, 05.
Consultant Marathon Oil Corporation, Littleton, Colorado, 1968-1972, Dowell division Dow Chemical, Tulsa, 1980-1985, Adolph Coors Company, Golden, Colorado, 1988-1989, others.
(With today's competition in the high-tech industries, and...)
(Process Modelling and simulation have proved to be extrem...)
(In recent years, enhanced oil recovery techniques have re...)
Singer local choral groups, Boulder, since 1980. Fellow American Institute of Chemical Engineers.
Married Marion Kneipp. Children: Jennifer Louise, Karen Elizabeth, Ellen Christine.
