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Classification of the Bazhenov Formation Using Well Logs (R Field)Normal access

Authors: D.A. Simonov, V. Baranov, N. Bukhanov and P. Beschasova
Event name: 7th EAGE Saint Petersburg International Conference and Exhibition
Session: Exploration & Production in Unconventional Reservoirs
Publication date: 11 April 2016
DOI: 10.3997/2214-4609.201600093
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 614.3Kb )
Price: € 20

This paper consider the main aspects of the Bazhenov formation interpretation and applying of machine learning algorithms in cases a of Kolpashev type section of the Bazhenov formation. Application of automatic algorithms of classification which would transfer the scale of research from small to large. Machine learning algorithms help to interpret the Bazhenov formation in reference well and in the other wells. During this work the unsupervised and supervised machine learning algorithms were applied to interpret the lithology and reservoir properties. This greatly simplifies the routine problem which deals with manual interpretation and has an economic effect deal with cost of laboratory analysis.

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