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Machine Learning To Support Technical Document Indexing, How To Measure The Accuracy?Normal access

Authors: H. Blondelle and J. Micaelli
Event name: First EAGE/PESGB Workshop Machine Learning
Session: Case Studies I
Publication date: 30 November 2018
DOI: 10.3997/2214-4609.201803012
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 519.04Kb )
Price: € 20

Summary:
Using a machine learning systems, a set of seismic documents has been automatically indexed on 25 metadata. The hold-out methodology has been used to evaluate the accuracy of the models. Results and lessons learnt are discussed.


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