Application of random forest for stratigraphic classification of wellbore data in the Southern Franconian Alb, Germany.

Martin Ernst Nowak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We applied the random forest method to classify the stratigraphic position of strata derived from 19 wells located within the area of the Southern Franconian Alb and the northern part of the South German Molasse Basin. Drillings comprised Quaternary to Triassic strata within a depth between 200 and 1300 m. Geophysical parameters included gammaray, temperature, density, as well as resistivity and conductivity logs and petrographic description.
Original languageEnglish (US)
Title of host publicationFirst EAGE Workshop on Geothermal Energy and Hydro Power in Africa
PublisherEuropean Association of Geoscientists & Engineers
ISBN (Print)9789462823747
DOIs
StatePublished - 2020

Fingerprint Dive into the research topics of 'Application of random forest for stratigraphic classification of wellbore data in the Southern Franconian Alb, Germany.'. Together they form a unique fingerprint.

Cite this