"Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk"
ISBN: 0521816017
Category: Technical
Tag: Science/Engineering
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Description
Per Avseth, Tapan Mukerji, Gary Mavko. "Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk"
Cambridge University Press | 2005 | ISBN: 0521816017 | 408 pages | djvu | 6 Mb
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 case studies and problem sets, plus seismic and well-log data, which will allow readers to gain a hands-on understanding of the methodologies.
The book includes case studies and problem sets, plus seismic and well-log data, which will allow readers to gain a hands-on understanding of the methodologies.
Seismic data analysis is one of the key technologies for characterizing reservoirs and monitoring subsurface pore fluids. While there have been great advances in 3D seismic data processing, the quantitative interpretation of the seismic data for rock properties still poses many challenges.
Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. It shows how the multidisciplinary combination of rock physics models with seismic data, sedimentological information, and stochastic techniques can lead to more powerful results than can be obtained from a single technique. 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
Quantitative Seismic Interpretation demonstrates how rock physics can be applied to predict reservoir parameters, such as lithologies and pore fluids, from seismically derived attributes. It shows how the multidisciplinary combination of rock physics models with seismic data, sedimentological information, and stochastic techniques can lead to more powerful results than can be obtained from a single technique. 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
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