Internet Archive Scholar

Non stationariy training images from modern carbonate analogues for MPS modelling in Central Luconia Province [article]

Grisel Jiménez Soto, Michael Pöppelreiter, Khaidir Rahmatsyah
2020 figshare.com  

Preserved Fulltext

Web Archive Capture PDF (331.7 kB)
https://web.archive.org/web/20201013213402/https://s3-eu-west-1.amazonaws.com/pfigshare-u-files/25001669/Non_Stationarity_Jimenezetal.pdf

A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL. The file type is application/pdf.

Over the past decade, Multiple-point geostatistical methods (MPS) are increasing in popularity in reservoir modelling since the work of Guardiano & Srivastava (1993) and further work developed in Strebelle's work in 2002 (Strebelle, 2002). Since then different approaches have been proposed (Arpat & Caers, 2007; Mariethoz G. & Renard, 2010; Parra & Ortiz, 2011; Straubhaar et al., 2011) and different algorithms have been developed, however not too many training images have been proposed to solve
more » ... he geological issues to be widely used in carbonates environments. This study, therefore, aims to propose to optimize the workflow in using depositional modern analogs to construct Training images
doi:10.6084/m9.figshare.13067417.v1 fatcat:uxcvvs7tsvaa3oadwtb6ynsfya
Open Access
Citation

Grisel Jiménez Soto, Michael Pöppelreiter, Khaidir Rahmatsyah. "Non stationariy training images from modern carbonate analogues for MPS modelling in Central Luconia Province." figshare.com (2020)