6 Chapter 6Figure 6.1 Likelihood function of P‐wave velocity in sand and shale in Examp...Figure 6.2 Contour plots of multivariate Gaussian likelihood functions of P‐...Figure 6.3 Contour plots of multivariate non‐parametric likelihood functions...Figure 6.4 Bayesian facies classification along a borehole dataset, from lef...Figure 6.5 Bayesian Markov chain Gaussian mixture seismic inversion for faci...Figure 6.6 Multimodal McMC seismic inversion for facies, P‐ and S‐impedance,...
7 Chapter 8Figure 8.1 Rock physics relations and prior model: rock physics calibration ...Figure 8.2 Posterior distributions of petrophysical properties and litho‐flu...Figure 8.3 Partially stacked seismic data and corresponding petrophysical pr...Figure 8.4 Predictions of porosity and oil sand facies probability in the th...Figure 8.5 Posterior ensemble of petrophysical properties: porosity, clay vo...Figure 8.6 Partially stacked seismic data and corresponding petrophysical pr...Figure 8.7 Predicted reservoir model of petro‐elastic properties and facies ...Figure 8.8 Stochastic realization of the reservoir model of petro‐elastic pr...Figure 8.9 Isosurface of high-porosity carbonate probability higher than 0.6...Figure 8.10 Structural and reservoir model of the Johansen formation and sim...Figure 8.11 Inversion results for CO 2saturation: (top) reference model of C...
1 Cover Page
2 Title Page
3 Copyright Page
4 Dedication Page
5 Preface
6 Acknowledgments
7 Table of Contents
8 Begin Reading
9 Appendix: MATLAB Codes
10 References
11 Index
12 Wiley End User License Agreement
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Seismic Reservoir Modeling
Theory, Examples, and Algorithms
Dario Grana
University of Wyoming
Laramie, WY, USA
Tapan Mukerji
Stanford University
Stanford, CA, USA
Philippe Doyen
Independent Consultant
London, UK

This edition first published 2021
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