multivariate production systems optimization - Stanford University
multivariate production systems optimization - Stanford University
multivariate production systems optimization - Stanford University
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Acknowledgements<br />
I would like to thank Dr. Roland Horne for providing me with thoughtful guidance, sage<br />
advice, and understanding patience. I also extend thanks to Dr. Khalid Aziz for providing<br />
sound and judicious counsel and to Dr. Hank Ramey for his generous contributions.<br />
I would like to thank Rafael Guzman for the time he invested proofreading several<br />
drafts of this manuscript. I would also like to thank Cesar Palagi, Evandro Nacul,<br />
Adalberto Rosa, Michael Riley, and Mariyamni Awang for providing a constant source of<br />
quality advice. I would like to thank Russell Johns for providing experience in the drafting<br />
of this manuscript. I would like to thank Suhail Qadeer and Daulat Mamora for helping me<br />
with the computer hardware and David Brock and Chick Wattenbarger for being of<br />
assistance with the computer graphics.<br />
I would also like to express thanks to Dr. Walter Murray and Sam Eldersveld of the<br />
<strong>Stanford</strong> Optimization Laboratory for their accessibility and helpfulness. I would like to<br />
thank Dr. Jawahar Barua for writing a superb thesis that was instrumental in my fully<br />
appreciating nonlinear concepts. I would like to thank Gunnar Borthne of the Norwegian<br />
Institute of Technology and Godofredo Perez of the <strong>University</strong> of Tulsa for providing me<br />
with computer programs that facilitated my work. I would also like to thank Joseph Gump<br />
of Chevron, U.S.A., Gene Kouba of Chevron Exploration and Production Services, and<br />
Dr. Rajesh Sachdeva of Simulation Sciences for providing me with a great deal of time and<br />
help pertaining to system theory. I would like to thank Dr. Parvis Moin of NASA Ames<br />
Research Center for inspiring my work by showing me the beauty and simplicity of<br />
numerical methods.<br />
I would like to express my sincere gratitude to Dr. Elias Schultzman and the<br />
National Science Foundation for providing me with the financial capacity to pursue this<br />
research. I would also like to thank the <strong>Stanford</strong> <strong>University</strong> Petroleum Research Institute<br />
for providing resources and support.<br />
Finally, I would like to thank the two most important people in the world, James<br />
and Darlene Carroll, mom and dad, for giving me this opportunity.<br />
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