Tools for automated rock description

E. Baraboshkin, D. Orlov, D. Koroteev

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

The algorithms for the classification of images are well developed in recent years. They work well when the classes are clearly defined between each other. The geological classes are not like that because they can be observed in different scales and classification paradigms. To tackle this problem, we compare different feature extraction techniques and classification (semi- and supervised) algorithms. We present methods which help to increase the accuracy of rock type classification.

Original languageEnglish
DOIs
Publication statusPublished - 2020
Event1st EAGE Digitalization Conference and Exhibition - Vienna, Austria
Duration: 30 Nov 20203 Dec 2020

Conference

Conference1st EAGE Digitalization Conference and Exhibition
Country/TerritoryAustria
CityVienna
Period30/11/203/12/20

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