This training course is available upon request. When requesting a course, please know there is a minimum number of participants needed for the course to be held. Request more information in the form to notify our team of your interest.
This course covers the theory and practical use of LithoSI, an interactive program that is fully linked within HampsonRussell Software and is used to analyze combinations of inversion results (typical pre-stack inversion results) to describe classes or lithologies. The outputs are litho-probability cubes, transforming inversion results into geological properties.
Geophysicists, geologists, engineers and technical staff who want to understand the theory and learn how to apply these increasingly critical techniques. Experience with HampsonRussell Software is NOT a prerequisite for this workshop, although students will become familiar with the functionality through attendance
Discussion of the LithoSI workflow for facies and fluid classification using multiple elastic parameters from the inversion of the seismic data
Basic introduction to Bayesian classification, multivariate Probability Density Functions (PDFs) and their optimization through Kernel Density Estimation
Teaches how to design complex multi-variate probability distribution functions to ensure proper classification of lithologies and accurate definition of litho-probabilities
Shows how to understand the quantification of uncertainty in seismic lithology and fluid prediction
Practical Exercises: Defining litho-classes, selecting attributes, optimizing PDFs, validating the results and volume application
Duration: 1 day Software used: HampsonRussell LithoSI Course Format: Instructor-led, workflow-based, in-person classroom or virtual Prerequisites: Experience with HampsonRussell software is NOT a prerequisite for this training course, although students will become familiar with the functionality through attendance of this class.