TY - GEN
T1 - Application of pattern recognition techniques to hydrogeological modeling of mature oilfields
AU - Sheremetov, Leonid
AU - Cosultchi, Ana
AU - Batyrshin, Ildar
AU - Velasco-Hernandez, Jorge
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Principal component analysis
KW - clustering
KW - oilfield
KW - time series pattern
UR - http://www.scopus.com/inward/record.url?scp=79960123258&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-21587-2_10
DO - 10.1007/978-3-642-21587-2_10
M3 - Contribución a la conferencia
SN - 9783642215865
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 85
EP - 94
BT - Pattern Recognition - Third Mexican Conference, MCPR 2011, Proceedings
T2 - 3rd Mexican Conference on Pattern Recognition, MCPR 2011
Y2 - 29 June 2011 through 2 July 2011
ER -