Analysis of Degression Graph Match Method for Gas Well Production and Software Development

Jie, Gong; Ying, Liu; Hengru, Zhang

doi:10.1007/978-3-642-25766-7_27

Gong Jie⁶,
Liu Ying⁶ &
Zhang Hengru⁶

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 126))

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Abstract

Based on the analysis of Fraim production degression analysis method, we draw the Fetkovich graph by software first. Then we carry out the history match and production forecast of Fraim method, and calculate the examples.

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References

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Authors and Affiliations

School of Computer Science, Southwest Petroleum University, Chengdu, 610500, China
Gong Jie, Liu Ying & Zhang Hengru

Authors

Gong Jie
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Liu Ying
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Zhang Hengru
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Corresponding author

Correspondence to Gong Jie .

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Editors and Affiliations

, College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic
Zhihong Qian
, Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA
Lei Cao
, Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA
Weilian Su
, Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom
Tingkai Wang
, College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic
Huamin Yang

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Jie, G., Ying, L., Hengru, Z. (2012). Analysis of Degression Graph Match Method for Gas Well Production and Software Development. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 126. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25766-7_27

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DOI: https://doi.org/10.1007/978-3-642-25766-7_27
Published: 05 February 2012
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25765-0
Online ISBN: 978-3-642-25766-7
eBook Packages: EngineeringEngineering (R0)

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