Quantitative Seismic Interpretation
Applying Rock Physics Tools to Reduce Interpretation Risk
Nonfiction, Science & Nature, Science, Earth Sciences, Geophysics, Business & Finance
| Author: | Per Avseth, Tapan Mukerji, Gary Mavko | ISBN: | 9781139809818 |
| Publisher: | Cambridge University Press | Publication: | June 10, 2010 |
| Imprint: | Cambridge University Press | Language: | English |
| Author: | Per Avseth, Tapan Mukerji, Gary Mavko |
| ISBN: | 9781139809818 |
| Publisher: | Cambridge University Press |
| Publication: | June 10, 2010 |
| Imprint: | Cambridge University Press |
| Language: | English |
Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. The authors provide an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs using well-log and seismic data. They illustrate the advantages of these new methodologies, while providing advice about limitations of the methods and traditional pitfalls. This book is aimed at graduate students, academics and industry professionals working in the areas of petroleum geoscience and exploration seismology. It will also interest environmental geophysicists seeking a quantitative subsurface characterization from shallow seismic data. The book includes problem sets and a case-study, for which seismic and well-log data, and MATLAB® codes are provided on a website (http://www.cambridge.org/9780521151351). These resources will allow readers to gain a hands-on understanding of the methodologies.
Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. The authors provide an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs using well-log and seismic data. They illustrate the advantages of these new methodologies, while providing advice about limitations of the methods and traditional pitfalls. This book is aimed at graduate students, academics and industry professionals working in the areas of petroleum geoscience and exploration seismology. It will also interest environmental geophysicists seeking a quantitative subsurface characterization from shallow seismic data. The book includes problem sets and a case-study, for which seismic and well-log data, and MATLAB® codes are provided on a website (http://www.cambridge.org/9780521151351). These resources will allow readers to gain a hands-on understanding of the methodologies.
