Application of Pressure-Rate Deconvolution to Well Test Interpretation of Low Permeability Reservoirs

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Abstract:

Pressure-rate deconvolution method based on the newly robust solution algorithm is applied to low permeability reservoirs, and deconvolution codes were developed for the study based on Schreoter deconvolution algorithm in this paper. The application of this method in a low permeability oilfield shows that deconvolution can provide much more information than the conventional well test interpretation methods, and this deconvolution method can interpret the whole test sequence but doesn’t be limited in pressure build-up period. It is proved that the pressure-rate deconvolution algorithm works well in well test interpretation of low permeability reservoirs.

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Periodical:

Advanced Materials Research (Volumes 383-390)

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243-247

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Online since:

November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Liu Nengqiang, Practical modern well test interpretation, Petroleum Industry Press, Beijing , 2008, 311-332 (in Chinese).

Google Scholar

[2] Tian Leng, He Shunli, Li Xiusheng, Gu Daihong, Calculating method of shut in time for pressure survey in production wells in low permeability oil reservoirs and its application, Petroleum exploration and development 34 (2007) 226-230 (in Chinese).

Google Scholar

[3] T. von Schroeter, F. Hollaender, A.C. Gringarten, Deconvolution of well test data as a nonlinear total least squares problem, SPE Journal 9 (2004) 375-390.

DOI: 10.2118/77688-pa

Google Scholar

[4] M.M. Levitan, Practical application of pressure-rate deconvolution to analysis of real well tests, SPE Reservoir Evaluation & Engineering 8 (2005) 113-121.

DOI: 10.2118/84290-pa

Google Scholar

[5] A.C. Gringarten, From straight lines to deconvolution: The evolution of the state of the art in well test analysis, SPE Reservoir Evaluation & Engineering 11 (2008) 41-62.

DOI: 10.2118/102079-pa

Google Scholar

[6] M.M. Levitan, G.E. Crawford, A. Hardwick, Practical considerations for pressure-rate deconvolution of well test data, SPE Journal 11 (2006) 35-47.

DOI: 10.2118/90680-pa

Google Scholar

[7] M. Onur, M. Cinar, D. Ilk, P. P Valko, T.A. Blasingame, P.S. Hegeman,. An investigation of recent deconvolution methods for well-test data analysis, SPE Journal 13 (2008) 226-247.

DOI: 10.2118/102575-pa

Google Scholar

[8] Li Yong, Li Baozhu, Hu Yongle, et al. Application of deconvolution algorithm to early formation interpretation of gas wells, ACTA PETROLEI SINICA, 31 (2010) 298-301 (in Chinese).

Google Scholar

[9] Liu Nengqiang, Deconvolution and its application, Well Testing 16 (2007) 1-4 (in Chinese).

Google Scholar

[10] Zhao Hongbing, Application of a new deconvolution algorithm in well test analysis, Journal of Oil and Gas Technology 30 (2008) 118-119 (in Chinese).

Google Scholar

[11] A.F. Van Everdingen, W. Hurst, The application of the Laplace transformation to flow problems in reservoirs, AIME 186 (1949) 305-324.

DOI: 10.2118/949305-g

Google Scholar

[12] Björck, Numerical methods for least squares problems, Society for Industrial Mathematics, Philadelphia, 1996, 351-354.

Google Scholar