How Data-Driven Modeling Methods like Neural Networks can help to integrate different Types of Data into Reservoir Management

Proceedings of the Middle East Oil Show

Volumn , Issue , 2001, Pages 533-540

  Stundner, M ^a   Al Thuwaini, J S ^b  

^a Software GmbH

^b SAUDI ARAMCO   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; DATA ACQUISITION; INDUSTRIAL MANAGEMENT; NEURAL NETWORKS; OIL WELL PRODUCTION; PETROLEUM PROSPECTING; STATISTICAL METHODS;

CLUSTERING METHODS; RESERVOIR MANAGEMENT;

PETROLEUM RESERVOIRS;

EID: 1642439240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2523/68163-ms     Document Type: Conference Paper

References (7)

1. Westphal, Ch., Blaxton, T.: "Data Mining Solutions Methods and Tools for Solving Real-World Problems", John Wiley & Sons, Inc., New York, 1998
2. Kennedy, R.L. et al.: "Solving Data Mining Problems through Pattern Recognition", The Data Warehousing Institute Series of Prentice Hall PTR, 1998
3. Masters, T.: "Neural, Novel & Hybrid Algorithms for Time Series Prediction", John Wiley & Sons, Inc., New York, 1995
4. Pyle, D.: "Data Preparation for Data Mining", Morgan Kaufmann Publishers, Inc., San Francisco, 1999
5. Patterson, D. W.: "Artificial Neural Networks: Theory and Applications", 1998
6. Goonatilake, S., Khebbal, S.: "Intelligent Hybrid Systems", John Wiley & Sons, New York, 1995
7. Weiss, S. M., Indurkhya, N.: "Predictive Data Mining", Morgan Kaufmann Publishers, Inc., San Francisco, 1998