Turn geostatistics into defensible resource classification. This course shows you how to assess estimate confidence with kriging, simulations, and uncertainty quantification then apply quantitative, auditable criteria to classify resources into Inferred, Indicated, and Measured under the JORC Code. Join the training to classify with confidence.
Multiple-Point Statistics simulations (MPS) with Isatis.neo
MULTIPLE POINT STATISTICS · KRIGING · ISATIS.NEO · DeeSse ENGINE
Learn Multiple-Point Statistics (MPS) simulation in Isatis.neo with the DeeSse engine model complex geology from training images. Hands-on training course.
Learn to build realistic, uncertainty-aware geological models with advanced geostatistics Indicator Kriging, SIS, TGS, PGS and implicit modeling in Isatis.neo.
Maxwell GeoSystems is a software company that develops a platform dedicated to construction data management, display, and interpretation. As a data specialist, Maxwell GeoSystems’ mission is to give their clients the best interpretation of their data to reduce risk and improve construction performance. They recently integrated geostatistics with Isatis.neo in their modeling process to quantify […]
To test the relevance of the geostatistical approach in the field of geotechnics, Eiffage Génie Civil Marine, a specialist in the construction of major port and maritime projects, asked Geovariances to produce a subsurface model for an existing project to compare with the model generated using their usual tools. The results proved more than convincing. […]
Nous utilisons des cookies pour vous garantir la meilleure expérience sur notre site web. Si vous continuez à utiliser ce site, nous supposerons que vous en êtes satisfait.
