Application of statistical analysis to optimize reservoir performance

Journal of Canadian Petroleum Technology

Volumn 35, Issue 8, 1996, Pages 36-42

  Forth, R ^a,c,d   Slevinsky, B ^a,c,e   Lee, D ^a,b   Fedenczuk, L ^b  

^a PETRO CANADA   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

^d Oil Business Unit

^e Technology Improvement Department

Author keywords

[No Author keywords available]

Indexed keywords

HEAVY OIL WATERFLOOD; INFILL DRILLING;

CALCULATIONS; COMPUTER SIMULATION; GEOLOGIC MODELS; OIL WELL COMPLETION; OIL WELL DRILLING; PETROLEUM RESERVOIR ENGINEERING; PHYSICAL PROPERTIES; PROBABILITY; STATISTICAL METHODS; WELL FLOODING;

PETROLEUM RESERVOIR EVALUATION;

EID: 0030270203     PISSN: 00219487     EISSN: None     Source Type: Journal    
DOI: 10.2118/96-08-03     Document Type: Article

References (4)

1. J.C. DAVIS, Statistics and Data Analysis in Geology: John Wiley & Sons, New York. ISBN 0-471-08079-9.
2. SAS/STAT User's Guide, Version 6, Fourth Edition, Volume 1, The DISCRIM Procedure; SAS Institute Inc., Cary, NC, ISBN 1-55544-376-1, pp. 677-772, 1990.
3. L. FEDENCZUK, B. WYVILL, K. HOFFMANN, Scientific Visualization in Oil and Gas Exploration; SAS User Group International Nineteen Annual Conference, Dallas, TX, April 1994, pp. 675-680 (invited paper).
4. Mechanisms and Management of Sand Production; Centre for Frontier Engineering Research, 1994.