Advances in well test analysis during the 1980's and 90'shave been associated with: (a) the use of pressure derivative plots, (b) the common availability of computer software for rapid graphical presentation, (c) the use of non-linear regression (automated type cure matching), (d) the availability of higher precision, high frequency data, both for pressure and flow rate, and (e) the development of new interpretation models, such as for horizontal wells, layered reservoirs and multiphase flow.
This book takes the form of a tutorial emphasizing these aspects of well test interpretation in this new computerized environment. During the book, emphasis is on problem solving, using computerized tools. A companion website link contains full listings of the data used in many of the examples, as well as a hypertext searchable version of the entire book (in the form of a Windows™ Multimedia Viewer title). A well test interpretation software program on the website link allows you to work with the example data yourself to learn more about how well test interpretation is achieved in practice (Windows XP and earlier only).
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Roland N. Horne is Professor of Energy Resources Engineering and former Chairman of Petroleum Engineering at Stanford University, and Director of the Stanford Geothermal Program. He is best known for his work in well test interpretation, production optimization, and tracer analysis of fractured geothermal reservoirs. He has received two SPE Best Paper awards from the Society of Petroleum Engineers, one for work in well test interpretation and another for work in production optimization, as well as three Best Paper awards from the Geothermal Resources Council (GRC). Horne has published many papers and books, has been an SPE Distinguished Lecturer (1998 and 2009), and has been awarded the SPE Distinguished Achievement Award for Petroleum Engineering Faculty. He has received the Lester C. Uren Award and John Frankin Carll Award from SPE, and is also an SPE Honorary Member. Horne is a member of the U.S. National Academy of Engineering.
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