Application of Machine Learning Methods for Modeling the Current Indicators of Operating Wells Stock of PJSC Gazprom Neft (Russian)

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.

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Automation of the forecasting process for wells base production

Rybakovskaya

Fakhretdinov

Prokhorov

et al. 2021

PROneftʹ, Prof. nefti

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Application of Machine Learning Methods for Modeling the Current Indicators of Operating Wells Stock of PJSC Gazprom Neft (Russian)

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Automation of the forecasting process for wells base production

Automation of the forecasting process for wells base production

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