Forecasting US natural gas production into year 2020: A comparative study

SPE Eastern Regional Meeting

Volumn , Issue , 2004, Pages

  Garcia, Anangela ^a,b   Mohaghegh, Shahab D ^a,c  

^a SPE   (United States)

^b Dominion E and P ^*  (Canada)

^c WEST VIRGINIA UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84888931617     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Energy Information Administration web site. http://www.eia.doe.gov.
2. Al-Fattah S. M. and Startzman R. A.: "Predicting Natural Gas Production using artificial neural network". SPE 68593 (April, 2001).
3. Mohaghegh, S. D. "Essential Components of an Integrated Data Mining Tool for the Oil & Gas Industry, With an Example Application in the DJ Basin", SPE 84441, Proceedings, 2003 SPE Annual Conference and Exhibition, October 4-October 8, Denver, Colorado.
4. IDEA™ from Intelligent Solutions, Inc. http://www.intelligentsolutionsinc.com/idea.htm.
5. American Petroleum Institute: "Basic Petroleum Data Book, Petroleum Industry Statistics". Volume XXI, Number 2, Washington, DC (2001).
6. Mohaghegh, S.D. "Virtual Intelligence Applications in Petroleum Engineering: Part 1; Artificial Neural Networks", Journal of Petroleum Technology, Distinguished Author Series, September 2000, pp 64-73.