Effect prediction of in-situ combustion based on Support Vector Machine

Shiyou Kantan Yu Kaifa/Petroleum Exploration and Development

Volumn 34, Issue 1, 2007, Pages 104-107

  Yuan, Shi Bao ^a   Jiang, Hai Yan ^a   Bao, Bing Sheng ^a   Tao, Jun ^a  

^a CHINA UNIVERSITY OF PETROLEUM   (China)

Author keywords

Air oil ratio; In situ combustion; Kernel function; Support Vector Machine

Indexed keywords

COMPUTER SIMULATION; FORECASTING; OIL WELL PRODUCTION; SUPPORT VECTOR MACHINES; THERMAL OIL RECOVERY;

AIR-OIL RATIO; KERNEL FUNCTION; SVM MODEL;

IN SITU COMBUSTION;

EID: 34047248227     PISSN: 10000747     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (13)

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3. Nello Cristianini, John Shawe-Taylor. An introduction to Support Vector Machines and other Kernel-based learning methods[M]. London: Cambridge University Press, 2000.
4. Steve R Gunn. Support Vector Machines for classification regression technical report[M]. Southampton: University of Southampton Press, 1998.
5. Gunn S. Support Vector Machines classification and regression[R]. Southampton: University of Southampton, 1998.
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7. Chu C. A study of fireflood field projects[R]. SPE 5821, 1977.
8. Chu C. State of the art review of fireflood field projects[A]. SPE 10918, 1982.
9. Farouq Ali S M. Accurate appraisal of in-situ combustion field tests[A]. SPE 3350, 1972.