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The Rock Physics Handbook: Tools for Seismic Analysis of Porous Media

TLDR
In this article, the authors present basic tools for elasticity and Hooke's law, effective media, granular media, flow and diffusion, and fluid effects on wave propagation for wave propagation.
Abstract
Preface 1. Basic tools 2. Elasticity and Hooke's law 3. Seismic wave propagation 4. Effective media 5. Granular media 6. Fluid effects on wave propagation 7. Empirical relations 8. Flow and diffusion 9. Electrical properties Appendices.

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Journal ArticleDOI

Extended poroelastic impedance

TL;DR: In this article, the P-wave reflectivity as a function of the incidence angle (called amplitude variation with offset) was approximated by linearized approximations to the P wave reflectivity.
Journal ArticleDOI

Effect of Shale Distribution on Hydrocarbon Sands Integrated with Anisotropic Rock Physics for AVA Modelling: A Case Study

TL;DR: In this paper, the effect of shale distribution on reservoir quality of sands using well log data was analyzed and it was shown that the laminated distribution prevails at the Basal sand level, which does not affect its reservoir quality greatly.
Journal ArticleDOI

Joint probabilistic inversion of DC resistivity and seismic refraction data applied to bedrock/regolith interface delineation

TL;DR: In this paper, a probabilistic joint inversion framework was proposed to infer a common interface geometry separating two heterogeneous sub-domains by using DC resistivity and first-arrival seismic travel times.
Journal ArticleDOI

Testing Gassmann fluid substitution: sonic logs versus ultrasonic core measurements

TL;DR: In this article, a workflow was developed to test Gassmann fluid substitution by comparing saturated P-wave moduli computed from dry core measurements against those obtained from sonic and density logs.
References
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Book

An introduction to the bootstrap

TL;DR: This article presents bootstrap methods for estimation, using simple arguments, with Minitab macros for implementing these methods, as well as some examples of how these methods could be used for estimation purposes.
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Classical Electrodynamics

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Pattern Recognition and Machine Learning

TL;DR: Probability Distributions, linear models for Regression, Linear Models for Classification, Neural Networks, Graphical Models, Mixture Models and EM, Sampling Methods, Continuous Latent Variables, Sequential Data are studied.
Book

Theory of elasticity

TL;DR: The theory of the slipline field is used in this article to solve the problem of stable and non-stressed problems in plane strains in a plane-strain scenario.
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