Autores
Batyrshin Ildar
Título Application of pattern recognition techniques to hydrogeological modeling of mature oilfields
Tipo Congreso
Sub-tipo SCOPUS
Descripción Lecture Notes in Computer Science; 3rd Mexican Conference on Pattern Recognition, MCPR 2011
Resumen Several pattern recognition techniques are applied for hydrogeological modeling of mature oilfields. Principle component analysis and clustering have become an integral part of microarray data analysis and interpretation. The algorithmic basis of clustering - the application of unsupervised machine-learning techniques to identify the patterns inherent in a data set - is well established. This paper discusses the motivations for and applications of these techniques to integrate water production data with other physicochemical information in order to classify the aquifers of an oilfield. Further, two time series pattern recognition techniques for basic water cut signatures are discussed and integrated within the methodology for water breakthrough mechanism identification.
Observaciones Code 85483 DOI: 10.1007/978-3-642-21587-2_10 http://link.springer.com/chapter/10.1007%2F978-3-642-21587-2_10
Lugar Cancún
País Mexico
No. de páginas 85-94
Vol. / Cap. 6718
Inicio 2011-06-29
Fin 2011-07-02
ISBN/ISSN 978-364221586-5