Data Mining at a Regulatory Agency to Forecast Waterflood Recovery

Proceedings - SPE Rocky Mountain Petroleum Technology Conference, Petroleum Technology - Leads the Way

Volumn , Issue , 2001, Pages 247-259

  Weiss, W W ^a   Wo, Shaochang ^b   Weiss, J W ^c   Weber, James ^d  

^a NEW MEXICO INSTITUTE OF MINING AND TECHNOLOGY   (United States)

^b Lasso Innovations ^*

^c Correlations Company ^*  (United States)

^d Coral Production Corporation ^*

Author keywords

[No Author keywords available]

Indexed keywords

PRIMARY OIL RECOVERY; WATERFLOOD RECOVERY;

COMPUTER SIMULATION; FLOODS; FUZZY CONTROL; MATHEMATICAL MODELS; OIL FIELDS; OIL WELL DRILLING; OIL WELL PRODUCTION; PARAMETER ESTIMATION;

DATA MINING;

EID: 1842418467     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Smith, C.R.: Mechanics of Secondary Oil Recovery, Reinhold Publishing Corporation, New York, (1966) 2.
2. Mattax, C.C. and Dalton, R.L.: Reservoir Simulation, Monograph Series, SPE, Richardson TX (1980) 1.
3. Standard Handbook of Petroleum and Natural Gas Engineering, William C. Lyons (ed.) Gulf Publishing Company, Houston (1996) 277-278.
4. Haykin, S.: Neural Networks: A Comprehensive Foundation, Macmillan College Publishing Company, New York (1994).
5. Lin, Y. and Cunningham, G.A.tu:III Identifying Significant Inputs Using Fuzzy Curves," Proceedings, Third International Conference on Fuzzy Systems, Orlando PL, June 26-29, 1994, p 2031-2036.
6. http://www-ra.informatik.uni-tuebingen.de/SNNS/