Prediction of Hydrodynamic Parameters of the State of the Bottomhole Zone of Wells Using Machine Learning Methods

A. V. Soromotin; D. A. Martyushev; A. A. Melekhin

For citations:

Soromotin A.V., Martyushev D.A., Melekhin A.A. Prediction of Hydrodynamic Parameters of the State of the Bottomhole Zone of Wells Using Machine Learning Methods. Georesursy = Georesources. 2024;26(1):109-117. https://doi.org/10.18599/grs.2024.1.9

This work is licensed under a Creative Commons Attribution 4.0 License.

ISSN 1608-5043 (Print)
ISSN 1608-5078 (Online)

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