FIELD: petroleum industry.
SUBSTANCE: invention relates to the petroleum industry and can be used as a method for collecting liquid hydrocarbons and injecting displacing agents, e.g., water, carbon dioxide, water-gas mixtures, heat carriers, etc., when organising the hydrodynamic impact on the reservoir in order to achieve maximum effect from the change in the kinematics of flows in the borehole system. The method includes collection of water and liquid hydrocarbons through producing boreholes and injection of a working agent through injection boreholes, recording of the field data on the operation of each borehole, on the basis whereof, historical measurements of water and hydrocarbon production are reproduced by the machine learning methods, optimal modes of injection of the displacing fluid and modes of operation of the producing boreholes providing maximum accumulated hydrocarbon production are selected in the process of multivariant calculations, the optimal modes are entered into a three-dimensional hydrodynamic simulator wherein a predictive calculation is executed and final commands for controlling the boreholes in a manual or automatic mode are issued. For the purpose of final assignment of optimal modes of operation of the boreholes, a combination of a neural network and a geological and hydrodynamic model is used therein, providing a possibility of forming optimal values of the injection capacities and the flow rates of the fluid for controlling the redistribution of water injection, based on the geological and hydrodynamic model and the set optimal injection capacities and flow rates of the fluid, the predicted petroleum production and additionally produced petroleum are calculated due to the application of hydrodynamic methods for enhancing the petroleum recovery.
EFFECT: effective organisation of the reservoir pressure maintenance (RPM) system and increased reservoir petroleum recovery (OR).
1 cl, 4 tbl, 8 dwg
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Authors
Dates
2021-11-09—Published
2020-11-27—Filed