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Automation of the forecasting process for wells base production

https://doi.org/10.51890/2587-7399-2021-6-2-45-49

Abstract

The article describes the automation of the production forecast calculation method for producing wells. Calculation for each well based on monthly production report data and current residual recoverable reserves. The Arps curve and the Corey function are used to approximate the actual production curves. Comparative analysis of actual data with retro-forecast data showed high accuracy with a short calculation time.

About the Authors

A. A. Rybakovskaya
Peter the Great St.Petersburg Polytechnic University (SPbPU)
Russian Federation


I. V. Fakhretdinov
Gazpromneft NTC LLC
Russian Federation


A. A. Prokhorov
Gazpromneft NTC LLC
Russian Federation


T. Ch. Fatkhullin
Gazpromneft NTC LLC
Russian Federation


A. N. Zvada
Gazpromneft NTC LLC
Russian Federation


I. A. Skvarko
PJSC “Slavneft-Megionneftegaz”
Russian Federation


References

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2. Doublet L.E., Pande P.K., McCollum T.J., Blasingame T.A. Decline Curve Analysis Using Type Curves–Analysis of Oil Well Production Data Using Material Balance Time: Application to Field Cases // Society of Petroleum Engineers. – 1994, January 1. https://doi.org/10.2118/28688-MS

3. Габитова С.И., Давлетбакова Л.А., Климов В.Ю. Методика прогнозирования темпов падения нефти проектных скважин на основе алгоритма машинного обучения // PROНЕФТЬ. Профессионально о нефти. – 2020 – № 4 (18). – С. 69–74. https://doi.org/10.7868/S2587739920040102

4. Ling K., He J. Theoretical Bases of Arps Empirical Decline Curves // Society of Petroleum Engineers. – 2012, January 1. https://doi.org/10.2118/161767-MS.

5. Teplyakov N., Slabetskiy A., Sarapulov N. [et al.] Application of Machine Learning Methods for Modeling the Current Indicators of Operating Wells Stock of PJSC Gazprom Neft / // SPE-191585-18RPTC-MS. – 2018.


Review

For citations:


Rybakovskaya A.A., Fakhretdinov I.V., Prokhorov A.A., Fatkhullin T.Ch., Zvada A.N., Skvarko I.A. Automation of the forecasting process for wells base production. PROneft. Professionally about Oil. 2021;6(2):45-49. (In Russ.) https://doi.org/10.51890/2587-7399-2021-6-2-45-49

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ISSN 2587-7399 (Print)
ISSN 2588-0055 (Online)