Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk
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Overview
Demonstrating how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes, this volume provides an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs. Including problem sets and a case-study for which seismic and well-log data and Matlab codes are provided on the Internet (http://publishing.cambridge.org/resources/0521816017), the book is intended for students of petroleum geoscience as well as professionals in the field.A translation of the Holy Scriptures prepared specifically for children. Includes artwork, maps, and a dictionary.
Editorials
From the Publisher
"...should prove valuable as a resource for educators...has a little something for everyone." -EOS Transactions, Carl H. Sondergeld, University of Oklahoma, Norman"I found the book to be very useful in expressing the field of rock physics and how to apply it to seismic interpretation. The authors provide very useful guidelines to the main points by highlighting important points and pitfalls within the text and bulleted conclusions at the end of each chapter...does a good job at introducing the various aspects of the quantitaive interpretation, presenting a balanced approach, and giving a workflow that could be used for your own projects." - The Leading Edge, David C. Bartel
"This is undoubtedly one of the most exciting seismic reference texts to have been written for the practicing petroleum geophysicist in some time."
Christopher D. Jauer, The Canadian Mineralogist
"This excellent book integrates rock physics, sedimentology, and stochastic inputs for seismic inferences to reduce risks in petroleum exploration and production. It is a must-read for graduate students, academics, and professionals in petroleum and seismic geosciences. I strongly recommend it for purchase by librarians and individuals." AAPG Bulletin B.K. Sahu, Indian Institute of Technology