Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m

Xie Congjiao; Guan Zhenliang; Luo Guoping; Zhou Hong

doi:doi:10.11648/j.ajam.20150304.12

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Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m

Xie Congjiao, Guan Zhenliang, Luo Guoping, Zhou Hong

Published in American Journal of Applied Mathematics (Volume 3, Issue 4)

Received: 16 May 2015 Accepted: 29 June 2015 Published: 9 July 2015

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Abstract

Well Stimulation and machinery extraction are two main methods which the engineer of oil production and related industry used to increase production .The purpose is to enhance the oil field final recovery ratio though speeds up the production rate of the petroleum fluid, especially for old oil field development. A set of methods which be suitable for the high water content maturing field about predicting output of well stimulation used in Xiaermen oilfield and providing the foundation of the oil field natural decline regular pattern. Then, a decline-analysis model is derived based on reservoir characteristic parameters and used to analyze natural decline rates for the Xiaermen oilfield developed by waterflooding. Formation factor and remaining oil saturation are included in this model, which reveals non-linear relationships between natural decline rates and the production time. We applied the model to the oil-production data from different blocks in the Xiaermen oilfield and found non-linear relationships between natural decline rates and production time as foreseen by the model, especially at the high water cut period. The results showed that the analytical model could match the natural decline rate data satisfactorily. It was also found there are non-linear relationships between oil incrementals for water flooding step stimulation and step time which different laws with permeability, net pay, and remaining oil saturation and structure place of reservoir in limit period. Decline analysis can be used to predict different oil wells production nature decline rule. Furthermore, we made computer programming in Matlab-m language to calculate the natural decline rate with any time, which made it much easier and practical to predict the future decline rate. Finally, the analytical model was compared with conventional models.

Published in	American Journal of Applied Mathematics (Volume 3, Issue 4)
DOI	10.11648/j.ajam.20150304.12
Page(s)	174-178
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Matlab-m, Decline Analysis, Model

References

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[2]	Agarwal, R.G. et al.: “Analyzing Well Production Data Using Combined-Type-Curve and Decline-Curve Analysis Concepts,” SPEREE (October 1999) 478.
[3]	Agbi, B. and Ng, M.C.: “A Numerical Solution to Two-Parameter Representation of Production Decline Curve Analysis,” paper SPE 16505 presented at the 1987 SPE Petroleum Industry Applications of Microcomputers, Montgomery, Texas, 23–26 June.
[4]	Arps, J.J.: “Analysis of Decline Curves,” Trans., AIME (1945) 160, 228-247.
[5]	Raghavan, R.: Well Test Analysis, PTR Prentice Hall, New Jersey (1993).
[6]	Chen, Q.Y, Xie, C.J and Li X.Y. “The Study for the History of Well Stimulation for Xiaermen Oilfield He 3 Formation VII Group Reservoir”, Petroleum geology and engineering, 2009, Vol.23, No.5
[7]	Hu, J.G., Chen, Y.Q., Zhang Z.S., “Forecasting method for monthly natural oil production of old wells in oilfield”, ACTA PETROLEI SINICA, Vol.28, No.3 (May 2007), 109-110
[8]	Liu Y.K, Bi Y.B, Sui X.G, Wu X.H, “Production performance forecast of oil & gas fields at the depletion stage”, Natural gas industry, Vol.27, No.3(March 2007),100-102
[9]	Baker, R.O. et al.: “Using an Analytical Decline Model to Characterize Naturally Fractured Reservoirs,” paper SPE 39623 presented at the 1998 SPE/DOE Improved Oil Recovery Symposium, Tulsa, 19–22 April.
[10]	Callard, J.G.: ‘‘Reservoir Performance History Matching Using Rate/Cumulative Type-Curves,’’ paper SPE 30793 presented at the 1995 SPE Annual Technical Conference and Exhibition, Dallas, 22–25 October.
[11]	Camacho-V., R. and Raghavan, R.: “Boundary-Dominated Flow in Solution-Gas-Drive Reservoirs,” SPERE (November 1989) 503.
[12]	Chen, H.Y. and Poston, S.W.: “Application of a Pseudo time Function to Permit Better Decline-Curve Analysis,” SPEFE (September 1989) 421.
[13]	Cutler, W.W. Jr.: “Estimation of Underground Reserves by Well Production Curves,” Bull., USBM (1924) 228.
[14]	Da P.G., Cinco-L, H., and Ramey, H.J. Jr.: “Decline Curve Analysis Using Type Curves for Two-Porosity Systems,” SPEJ (June 1981) 354.
[15]	Xie, C.-j. Cai, E.F. Guan, Z.L, “Oil & Gas Development Geology”, China University of Geosciences press, (September 2004) 205.
[16]	Zhou, H. Guan, Z.L, “Oil Reservoir Engineering”, China University of Geosciences Press, (May 2004) 67.
[17]	Arps J J. “Estimation of Primary Oil Reserves”. Trans, AIME, 1956; 207:182~186
[18]	Hubbert M K. “Energy Resources National Academy of Science”,National Research Council.Washington D C,1962
[19]	Faulder, D.D.: “Advanced Decline Curve Analysis in Vapor-Dominated Geothermal Reservoirs,” paper SPE 38763 presented at the1997 SPE Annual Technical Conference and Exhibition, San Antonio, Texas, 5–8 October.
[20]	Fetkovich, M.J. et al.: “Decline-Curve Analysis Using Type Curves—Case Histories,” SPEFE (December 1987) 637; Trans., AIME, 283.
[21]	Fetkovich, M.J., Fetkovich, E.J., and Fetkovich, M.D.: “Useful Conceptsfor Decline-Curve Forecasting, Reserve Estimation, and Analysis,”SPERE (February 1996) 13.

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APA Style

Xie Congjiao, Guan Zhenliang, Luo Guoping, Zhou Hong. (2015). Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m. American Journal of Applied Mathematics, 3(4), 174-178. https://doi.org/10.11648/j.ajam.20150304.12

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ACS Style

Xie Congjiao; Guan Zhenliang; Luo Guoping; Zhou Hong. Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m. Am. J. Appl. Math. 2015, 3(4), 174-178. doi: 10.11648/j.ajam.20150304.12

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AMA Style

Xie Congjiao, Guan Zhenliang, Luo Guoping, Zhou Hong. Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m. Am J Appl Math. 2015;3(4):174-178. doi: 10.11648/j.ajam.20150304.12

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@article{10.11648/j.ajam.20150304.12,
  author = {Xie Congjiao and Guan Zhenliang and Luo Guoping and Zhou Hong},
  title = {Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m},
  journal = {American Journal of Applied Mathematics},
  volume = {3},
  number = {4},
  pages = {174-178},
  doi = {10.11648/j.ajam.20150304.12},
  url = {https://doi.org/10.11648/j.ajam.20150304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20150304.12},
  abstract = {Well Stimulation and machinery extraction are two main methods which the engineer of oil production and related industry used to increase production .The purpose is to enhance the oil field final recovery ratio though speeds up the production rate of the petroleum fluid, especially for old oil field development. A set of methods which be suitable for the high water content maturing field about predicting output of well stimulation used in Xiaermen oilfield and providing the foundation of the oil field natural decline regular pattern. Then, a decline-analysis model is derived based on reservoir characteristic parameters and used to analyze natural decline rates for the Xiaermen oilfield developed by waterflooding. Formation factor and remaining oil saturation are included in this model, which reveals non-linear relationships between natural decline rates and the production time. We applied the model to the oil-production data from different blocks in the Xiaermen oilfield and found non-linear relationships between natural decline rates and production time as foreseen by the model, especially at the high water cut period. The results showed that the analytical model could match the natural decline rate data satisfactorily. It was also found there are non-linear relationships between oil incrementals for water flooding step stimulation and step time which different laws with permeability, net pay, and remaining oil saturation and structure place of reservoir in limit period. Decline analysis can be used to predict different oil wells production nature decline rule. Furthermore, we made computer programming in Matlab-m language to calculate the natural decline rate with any time, which made it much easier and practical to predict the future decline rate. Finally, the analytical model was compared with conventional models.},
 year = {2015}
}

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TY  - JOUR
T1  - Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m
AU  - Xie Congjiao
AU  - Guan Zhenliang
AU  - Luo Guoping
AU  - Zhou Hong
Y1  - 2015/07/09
PY  - 2015
N1  - https://doi.org/10.11648/j.ajam.20150304.12
DO  - 10.11648/j.ajam.20150304.12
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 174
EP  - 178
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20150304.12
AB  - Well Stimulation and machinery extraction are two main methods which the engineer of oil production and related industry used to increase production .The purpose is to enhance the oil field final recovery ratio though speeds up the production rate of the petroleum fluid, especially for old oil field development. A set of methods which be suitable for the high water content maturing field about predicting output of well stimulation used in Xiaermen oilfield and providing the foundation of the oil field natural decline regular pattern. Then, a decline-analysis model is derived based on reservoir characteristic parameters and used to analyze natural decline rates for the Xiaermen oilfield developed by waterflooding. Formation factor and remaining oil saturation are included in this model, which reveals non-linear relationships between natural decline rates and the production time. We applied the model to the oil-production data from different blocks in the Xiaermen oilfield and found non-linear relationships between natural decline rates and production time as foreseen by the model, especially at the high water cut period. The results showed that the analytical model could match the natural decline rate data satisfactorily. It was also found there are non-linear relationships between oil incrementals for water flooding step stimulation and step time which different laws with permeability, net pay, and remaining oil saturation and structure place of reservoir in limit period. Decline analysis can be used to predict different oil wells production nature decline rule. Furthermore, we made computer programming in Matlab-m language to calculate the natural decline rate with any time, which made it much easier and practical to predict the future decline rate. Finally, the analytical model was compared with conventional models.
VL  - 3
IS  - 4
ER  -

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Author Information

Xie Congjiao

Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan, China
Guan Zhenliang

Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan, China
Luo Guoping

Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan, China
Zhou Hong

Key Laboratory of Tectonics and Petroleum Resources of Ministry of Education, China University of Geosciences, Wuhan, China

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APA Style

Xie Congjiao, Guan Zhenliang, Luo Guoping, Zhou Hong. (2015). Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m. American Journal of Applied Mathematics, 3(4), 174-178. https://doi.org/10.11648/j.ajam.20150304.12

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ACS Style

Xie Congjiao; Guan Zhenliang; Luo Guoping; Zhou Hong. Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m. Am. J. Appl. Math. 2015, 3(4), 174-178. doi: 10.11648/j.ajam.20150304.12

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AMA Style

Xie Congjiao, Guan Zhenliang, Luo Guoping, Zhou Hong. Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m. Am J Appl Math. 2015;3(4):174-178. doi: 10.11648/j.ajam.20150304.12

Copy | Download

@article{10.11648/j.ajam.20150304.12,
  author = {Xie Congjiao and Guan Zhenliang and Luo Guoping and Zhou Hong},
  title = {Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m},
  journal = {American Journal of Applied Mathematics},
  volume = {3},
  number = {4},
  pages = {174-178},
  doi = {10.11648/j.ajam.20150304.12},
  url = {https://doi.org/10.11648/j.ajam.20150304.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajam.20150304.12},
  abstract = {Well Stimulation and machinery extraction are two main methods which the engineer of oil production and related industry used to increase production .The purpose is to enhance the oil field final recovery ratio though speeds up the production rate of the petroleum fluid, especially for old oil field development. A set of methods which be suitable for the high water content maturing field about predicting output of well stimulation used in Xiaermen oilfield and providing the foundation of the oil field natural decline regular pattern. Then, a decline-analysis model is derived based on reservoir characteristic parameters and used to analyze natural decline rates for the Xiaermen oilfield developed by waterflooding. Formation factor and remaining oil saturation are included in this model, which reveals non-linear relationships between natural decline rates and the production time. We applied the model to the oil-production data from different blocks in the Xiaermen oilfield and found non-linear relationships between natural decline rates and production time as foreseen by the model, especially at the high water cut period. The results showed that the analytical model could match the natural decline rate data satisfactorily. It was also found there are non-linear relationships between oil incrementals for water flooding step stimulation and step time which different laws with permeability, net pay, and remaining oil saturation and structure place of reservoir in limit period. Decline analysis can be used to predict different oil wells production nature decline rule. Furthermore, we made computer programming in Matlab-m language to calculate the natural decline rate with any time, which made it much easier and practical to predict the future decline rate. Finally, the analytical model was compared with conventional models.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Study on the Decline Analysis of Oil Well Stimulation Rule Based on Matlab-m
AU  - Xie Congjiao
AU  - Guan Zhenliang
AU  - Luo Guoping
AU  - Zhou Hong
Y1  - 2015/07/09
PY  - 2015
N1  - https://doi.org/10.11648/j.ajam.20150304.12
DO  - 10.11648/j.ajam.20150304.12
T2  - American Journal of Applied Mathematics
JF  - American Journal of Applied Mathematics
JO  - American Journal of Applied Mathematics
SP  - 174
EP  - 178
PB  - Science Publishing Group
SN  - 2330-006X
UR  - https://doi.org/10.11648/j.ajam.20150304.12
AB  - Well Stimulation and machinery extraction are two main methods which the engineer of oil production and related industry used to increase production .The purpose is to enhance the oil field final recovery ratio though speeds up the production rate of the petroleum fluid, especially for old oil field development. A set of methods which be suitable for the high water content maturing field about predicting output of well stimulation used in Xiaermen oilfield and providing the foundation of the oil field natural decline regular pattern. Then, a decline-analysis model is derived based on reservoir characteristic parameters and used to analyze natural decline rates for the Xiaermen oilfield developed by waterflooding. Formation factor and remaining oil saturation are included in this model, which reveals non-linear relationships between natural decline rates and the production time. We applied the model to the oil-production data from different blocks in the Xiaermen oilfield and found non-linear relationships between natural decline rates and production time as foreseen by the model, especially at the high water cut period. The results showed that the analytical model could match the natural decline rate data satisfactorily. It was also found there are non-linear relationships between oil incrementals for water flooding step stimulation and step time which different laws with permeability, net pay, and remaining oil saturation and structure place of reservoir in limit period. Decline analysis can be used to predict different oil wells production nature decline rule. Furthermore, we made computer programming in Matlab-m language to calculate the natural decline rate with any time, which made it much easier and practical to predict the future decline rate. Finally, the analytical model was compared with conventional models.
VL  - 3
IS  - 4
ER  -

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