A new method used for reservoir production performance analysis

Shuyong Hu , Yi Deng , Yongkai Li , Ran Wang

Petroleum ›› 2019, Vol. 5 ›› Issue (1) : 30 -34.

PDF
Petroleum ›› 2019, Vol. 5 ›› Issue (1) :30 -34. DOI: 10.1016/j.petlm.2018.02.001
research-article
A new method used for reservoir production performance analysis
Author information +
History +
PDF

Abstract

Water flooding type-curves, recently receiving increasing attentions, play an essential role in evaluation of OOIP and prediction of future production. The study proposed a method modified form Weibull model and water flooding type-curves to analyze the reservoir production performance, including predication of oil production and water injection rates. The results indicate that the method can estimate and provide solutions for oil production, water injection rate and injection-production ratio with a well accuracy. A case study is conducted to demonstrate the applicability and accuracy of model by field data. The matching results illustrate a good accordance between calculated values and field data.

Keywords

Weibull model / Water flooding type-curves / Oil production / Water injection rate / Injection-production ratio

Cite this article

Download citation ▾
Shuyong Hu, Yi Deng, Yongkai Li, Ran Wang. A new method used for reservoir production performance analysis. Petroleum, 2019, 5(1): 30-34 DOI:10.1016/j.petlm.2018.02.001

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

H.H. Khanamiri, A non-iterative method of decline curve analysis, J. Petrol. Sci. Eng. 73.1 (2010) 59-66.

[2]

K. Li, R.N. Horne, A decline curve analysis model based on fluid flow mechanisms, in: SPE Western Regional/AAPG Pacific Section Joint Meeting, Society of Petroleum Engineers, 2003.

[3]

F. Liu, Z.M. Du, X.F. Chen, Combining water flooding type-curves and Weibull prediction model for reservoir production performance analysis, J. Petrol. Sci. Eng. 112 (2013) 220-226.

[4]

S.Y. Hu, Y.K. Li, Z.W. Wang, G.Q. Hu, A new approach of proration-injection allocation for water-flooding mature oilfields, Petroleum 1.1 (2015) 27-30.

[5]

P. Zhou, X.F. Chen, P. Yue, Establishment of a new type of water drive characteristic curve, Petrol. Geol. Recov. Effic. 19.4 (2012) 99-102.

[6]

C.L. Li (Ed.), Reservoir Engineering Principle, second ed., Petroleum industry press, Chengdu, 2011.

[7]

Q.T. Yu, How to study and apply the water displacement curves correctlyda reply to the book “Practical Methods of Petroleum Reservoir Engineering”, Petrol. Explor. Dev. 27 (5) (2000) 122-126.

[8]

Y.L. Ren, A new generalized water drive curve, Xinjing Pet. Geol. (2006) 188-190.

[9]

A.M. Lyu, J. Yao, Z.Q. Guo, Study on typical relative permeability relationship and water displacement curves in fracture-cave reservoir of Tahe Ordovician, PGRE 17 (2) (2010) 101-104.

[10]

W.C. Li, G.Q. Yao, J.G. Zhang, Establishment and Application of New Generalized Water Drive Characteristic Curve, Xinjiang Petroleum Geology, 2009.

[11]

Q.Y. Ran, J.G. Hu, Y.R. Xiao, No selectivity of water flooding characteristic curve to crude oil viscosity-how to use water flooding characteristic curve correctly, Petrol. Geol. Recov. Effic. 13 (6) (2006) 59-62.

[12]

W. Weibull, Fatigue Testing and the Analysis of Results, The Macmillan Company, New York, 1961.

[13]

Y.Q. Chen, J.G. Hu, Weibull model for predicting output and reserve in an oil and gas field, Xinjing Pet. Geol. (1995) 250-256.

[14]

P. Zhou, M. Chen, Q.Y. Wang, Q.S. Chen, X.L. Tang, Generalized Weibull Model for Predicting the Production and Recoverable Reserves of Oil and Gas Fields, Petroleum Geology & Oilfield Development in Daqing, 2017.

[15]

R.K. Mueller, D.J. Eggert, H.S. Swanson, Petroleum decline analysis using time series, Energy Econ. 3 (4) (1981) 256-267.

[16]

B.F. Towler, S. Bansal, Hyperbolic decline-curve analysis using linear regression, J. Petrol. Sci. Eng. 8 (4) (1993) 257-268.

[17]

Y.Q. Chen, J.G. Hu, The forecast oil and gas reserves and production Weibull mode, Xinjing Pet. Geol. 16 (3) (1995) 250-255.

[18]

J.D. Zheng, H.F. Jiang, X.S. Feng, Study on reasonable injection-production ratio in Sazhong area, PGRE 8 (2) (2001) 55-57.

[19]

Y.Q. Chen, Petroleum Reservoir Engineering, Petroleum Industry Press, Beijing, 2001, pp. 148-159.

[20]

N. Ucar, S. Ertugrul, Predicting circular knitting machine parameters for cotton plain fabrics using conventional and neuro-fuzzy methods, Textil. Res. J. 72 (4) (2002) 361-366.

PDF

0

Accesses

0

Citation

Detail

Sections
Recommended

/