Statistical approach to the use of flow-deflecting technologies on the example of Lyantorskoye field

Authors: A.V. Pnevskih, N.S. Klimova, Z.V. Zhuk (Tyumen Branch of SurgutNIPIneft, RF, Tyumen)

Key words: oil recovery, statistics, regression analysis, effectiveness, flow-deflecting technologies.

A wide application of methods of increase of oil recovery with the use of flow-deflecting technologies at oil fields of Surgutneftegas OJSC allowed to accumulate the volume of the information, sufficient for carrying out a quality of statistical processing of. In the paper an algorithm of selection of methods of increase of oil recovery for injection wells with the help of multivariate regression analysis.

References

1. Devyatkova S.G, Pnevskikh A.V., Proceedings of SurgutNIPIneft', 2009, V. 10, 176 p.

2. Zaks L., Statisticheskoe otsenivanie (Statistical estimation), Moscow: Statistika Publ., 1976, 598 p.

3. Norman R. D., Smith H., Applied regression analysis, 3rd Edition, John Wiley & sons, Inc., 1998, 736 p.

Key words: oil recovery, statistics, regression analysis, effectiveness, flow-deflecting technologies.

A wide application of methods of increase of oil recovery with the use of flow-deflecting technologies at oil fields of Surgutneftegas OJSC allowed to accumulate the volume of the information, sufficient for carrying out a quality of statistical processing of. In the paper an algorithm of selection of methods of increase of oil recovery for injection wells with the help of multivariate regression analysis.

References

1. Devyatkova S.G, Pnevskikh A.V., Proceedings of SurgutNIPIneft', 2009, V. 10, 176 p.

2. Zaks L., Statisticheskoe otsenivanie (Statistical estimation), Moscow: Statistika Publ., 1976, 598 p.

3. Norman R. D., Smith H., Applied regression analysis, 3rd Edition, John Wiley & sons, Inc., 1998, 736 p.


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