Scaling multiple-point statistics to different univariate proportions. - Julián M. Ortiz; Steven Lyster; Clayton V. Deutsch (Comput. Geosci., 2007)

A methodology to construct training images for vein-type deposits. - Jeff B. Boisvert; O. Leuangthong; Julián M. Ortiz; Clayton V. Deutsch (Comput. Geosci., 2008)

Two approaches to direct block-support conditional co-simulation. - Xavier Emery; Julián M. Ortiz (Comput. Geosci., 2011)

Parallel implementation of simulated annealing to reproduce multiple-point statistics. - Oscar Peredo; Julián M. Ortiz (Comput. Geosci., 2011)

Enhanced coregionalization analysis for simulating vector Gaussian random fields. - Xavier Emery; Julián M. Ortiz (Comput. Geosci., 2012)

A Flexible Strategy for Distributed and Parallel Execution of a Monolithic Large-Scale Sequential Application. - Felipe Navarro; Carlos González; Oscar Peredo; Gerson Morales; Alvaro Egaña; Julián M. Ortiz (CARLA, 2014)

Verifying the high-order consistency of training images with data for multiple-point geostatistics. - Cristian Pérez; Grégoire Mariéthoz; Julián M. Ortiz (Comput. Geosci., 2014)

Tuning and hybrid parallelization of a genetic-based multi-point statistics simulation code. - Oscar Peredo; Julián M. Ortiz; José R. Herrero 001; Cristóbal Samaniego (Parallel Comput., 2014)

Reconstruction of channelized geological facies based on RIPless compressed sensing. - Hernán Calderón; Jorge F. Silva; Julián M. Ortiz; Alvaro Egaña (Comput. Geosci., 2015)

Acceleration of the Geostatistical Software Library (GSLIB) by code optimization and hybrid parallel programming. - Oscar Peredo; Julián M. Ortiz; José R. Herrero 001 (Comput. Geosci., 2015)

Channelized facies recovery based on weighted compressed sensing. - Hernán Calderón; Felipe Santibanez; Jorge F. Silva; Julián M. Ortiz; Alvaro Egaña (SAM, 2016)

Antithetic random fields applied to mine planning under uncertainty. - S. Gonzalo Nelis; Julián M. Ortiz; V. Nelson Morales (Comput. Geosci., 2018)

A path-level exact parallelization strategy for sequential simulation. - Oscar Peredo; Daniel Baeza; Julián M. Ortiz; José R. Herrero 001 (Comput. Geosci., 2018)

Change of support using non-additive variables with Gibbs Sampler: Application to metallurgical recovery of sulphide ores. - Mauricio Garrido; Julián M. Ortiz; Francisco Villaseca; Willy Kracht; Brian Townley; Roberto Miranda (Comput. Geosci., 2019)

Recursive convolutional neural networks in a multiple-point statistics framework. - Sebastian Avalos; Julián M. Ortiz (Comput. Geosci., 2020)

Multivariate simulation using a locally varying coregionalization model. - Álvaro I. Riquelme; Julián M. Ortiz (Comput. Geosci., 2025)