Geostatistical Simulations

The main purpose of this guide is to assist you in using geostatistical tools with your own data. The book assists you in obtaining the software and making the first steps, warn what might be the bottlenecks and what you should avoid doing, and provide the most crucial tricks’n’tips on how to build scripts and organize the data processing.

This volume is dedicated to the main task of mathematical geoscientists during the last forty years - to establish new frontiers and new challenges in the study and understanding of the natural world.

This study proposes a hybrid optimization technique (HGA) based on the genetic algorithm (GA) with helper functions based on the polytope algorithm and the kriging algorithm. The problem was formulated as a traveling salesman problem and the order of wells in the drilling queue was optimized.

Geostatistics is concerned with estimation and prediction problems for spatially continuous phenomena, using data obtained at a limited number of spatial locations. The name reflects its origins in mineral exploration, but the methods are now used in a wide range of settings including public health and the physical and environmental sciences. Model-based geostatistics refers to the application of general statistical principles of modeling and inference to geostatistical problems. This volume is the first book-length treatment of model-based geostatistics.

Authors: Nader, Fadi Henri
Reinforces basic principles with well documented case studies and scientific arguments
Maximizes reader insights into quantitative aspects of diagenesis and reservoir rocks characterization
Provides new, creative workflows to undertake reservoir characterization