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An Extension For The RA Methodology: Stability AnalysisNormal access

Authors: E. Vital Brazil, R. Silva and L. Farias
Event name: First EAGE/PESGB Workshop Machine Learning
Session: Poster Session
Publication date: 30 November 2018
DOI: 10.3997/2214-4609.201803029
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 452.56Kb )
Price: € 20

We present an extension for a methodology proposed by Perez-Valiente et al (2014), known as Reservoirs Analogues (RA). This method finds analogues using machine learning to complete a dataset. Our concern is this methodology does not track error carried from the imputation of missing values until ranking lists of analogues. This study aims to analyze the inherent uncertainty of this step discussing how it can be beneficial to obtain accurate information for reservoirs with limited information.

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