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How Machine Learning Is Replacing Conventional InterpretationNormal access

Authors: D. Sacrey and R. Roden
Event name: First EAGE/PESGB Workshop Machine Learning
Session: Case Studies I
Publication date: 30 November 2018
DOI: 10.3997/2214-4609.201803011
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 4.43Mb )
Price: € 20

Summary:
This presentation shows severaed classification process in successful case histories of the sample-basully finding hydrocarbons and delineating reservoir limits. This type of machine learning is especially good for thin bed exploration as it allows for stratigraphic pattern recognition below conventional seismic tuning.


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