"Quantitative Seismic Interpretation: Applying Rock Physics Tools to Reduce Interpretation Risk" by Per Avseth, et al.

This volume provides an integrated methodology and practical tools for quantitative interpretation, uncertainty assessment, and characterization of subsurface reservoirs. The book is intended for students of petroleum geoscience as well as professionals in the field.

The book 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. These resources will allow readers to gain a hands-on understanding of the methodologies.

Contents
Preface
1 Introduction to rock physics
1.1 Introduction
1.2 Velocity–porosity relations for mapping porosity and facies
1.3 Fluid substitution analysis
1.4 Pressure effects on velocity
1.5 The special role of shear-wave information
1.6 Rock physics “What ifs?”: fluid and lithology substitution
1.7 All models are wrong … some are useful
2 Rock physics interpretation of texture, lithology and compaction
2.1 Introduction
2.2 The link between rock physics properties and sedimentary microstructure: theory and models
2.3 Example: rock physics interpretation of microstructure in North Sea turbidite systems
2.4 Relating rock physics to lithofacies and depositional environments
2.5 Example: seismic lithofacies in a North Sea turbidite system
2.6 Rock physics depth trends
2.7 Example: rock physics depth trends and anomalies in a North Sea field
2.8 Rock physics templates: a tool for lithology and fluid prediction
2.9 Discussion
2.10 Conclusions
3 Statistical rock physics: Combining rock physics, information theory, and statistics to reduce uncertainty
3.1 Introduction
3.2 Why quantify uncertainty?
3.3 Statistical rock physics workflow
3.4 Information entropy: some simple examples
3.5 Monte Carlo simulation
3.6 Statistical classification and pattern recognition
3.7 Discussion and summary
4 Common techniques for quantitative seismic interpretation
4.1 Introduction
4.2 Qualitative seismic amplitude interpretation
4.3 AVO analysis
4.4 Impedance inversion
4.5 Forward seismic modeling
4.6 Future directions in quantitative seismic interpretation
5 Case studies: Lithology and pore-fluid prediction from seismic data
5.1 Case 1: Seismic reservoir mapping from 3D AVO in a North Sea turbidite system
5.2 Case 2: Mapping lithofacies and pore-fluid probabilities in a North Sea reservoir using seismic impedance inversions and statistical rock physics
5.3 Case 3: Seismic lithology prediction and reservoir delineation using statistical AVO in the Grane field, North Sea
5.4 Case 4: AVO depth trends for lithology and pore fluid classification in unconsolidated deep-water systems, offshore West Africa
5.5 Case 5: Seismic reservoir mapping using rock physics templates. Example from a North Sea turbidite system
6 Workflows and guidelines
6.1 AVO reconnaissance
6.2 Rock physics “What ifs” and AVO feasibility studies
6.3 RPT analysis
6.4 AVO classification constrained by rock physics depth trends
6.5 Seismic reservoir characterization constrained by lithofacies analysis and statistical rock physics
6.6 Why and when should we do quantitative seismic interpretation?
7 Hands-on
7.1 Introduction
7.2 Problems
7.3 Project
References
Index
The color plates