Mariethoz, Caers:

Multiple-point Geostatistics: Stochastic Modeling with Training Images

Instructor Companion Site

Table Of Contents

Part I Chapter 1: Hiking in the Sierra Nevada

Part I Chapter 2: Spatial estimation based on random function theory

Part I Chapter 3: Universal kriging with training images

Part I Chapter 4: Stochastic simulations based on random function theory

Part I Chapter 5: Stochastic simulation without random function theory

Part I Chapter 6: Returning to the Sierra Nevada

Part II Chapter 1: Introduction

Part II Chapter 2: The algorithmic building blocks

Part II Chapter 3: Multiple-point geostatistics algorithms

Part II Chapter 4: Markov random fields

Part II Chapter 5: Nonstationary modeling with training images

Part II Chapter 6: Multivariate modeling with training images

Part II Chapter 7: Training image construction

Part II Chapter 8: Validation and quality control

Part II Chapter 9: Inverse modeling with training images

Part II Chapter 10: Parallelization

Part III Chapter 1: Reservoir forecasting – the West Coast of Africa (WCA) reservoir

Part III Chapter 2: Geological resources modeling in mining

Part III Chapter 3: Climate modeling application – the case of the Murray–Darling Basin

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