Applied Geostatistics with SGeMS: A User's Guide

TL;DR: Five distance base localization functions have been implemented and analysis on two different cases to obtain a better history matching with EnKF, indicating that quartic correlation function produce better results than others especially to the popular fifth-order correlation function meanwhile maintain more total variance at the end of the assimilation.

TL;DR: The essential steps required for constructing numerical models that effectively quantify the authors' state of nature have emerged and practitioners have technical solutions to quantify and manage geological risk, thus reducing the lost opportunity cost of low-quality geological models and inferior decisions.

TL;DR: In this article, a new pseudo-genetic method is proposed to model the heterogeneity of sandy gravel braided-river aquifers, which is tested and compared with other modeling approaches on a case study of contaminant transport.

TL;DR: In this paper, a comparative procedure utilizing Sequential Gaussian Simulation (SGS) and traditional Ordinary Kriging (OK) was applied in an iron ore mine, and the influence of ore grade uncertainty in mine planning was investigated.

TL;DR: This chapter discusses Monte Carol methods, the least-absolute values criterion and the minimax criterion, and their applications to functional inverse problems.

TL;DR: The approach proposed in this paper consists of borrowing the required multiple-point statistics from training images depicting the expected patterns of geological heterogeneities from the geostatistical numerical model where they are anchored to the actual data in a sequential simulation mode.

TL;DR: The intrinsic random functions (IRF) are a particular case of the Guelfand generalized processes with stationary increments and constitute a much wider class than the stationary RF, and are used in practical applications for representing nonstationary phenomena as discussed by the authors.