Design of hydrulic fracturing of a formation in wells using machine learning algorithms based on hydrodynamic modeling. Part 1
UDC: 622.276.66
DOI: 10.33285/0207-2351-2023-12(660)-38-49
Authors:
GULIEV RAMIL Z.
1,
EREMIN NIKOLAY A.1,2,
VOLKOV IVAN V.1
1 Northern (Arctic) Federal University named after M.V. Lomonosov, Arkhangelsk, Russia
2 National University of Oil and Gas "Gubkin University", Moscow, Russia
Keywords: hydrofracturing, machine learning, optimization, data, prediction
Annotation:
The article presents the design of hydraulic fracturing of a formation in a well using machine learning algorithms based on hydrodynamic modeling.
The current part of the article analyzes large amounts of data and searches for interrelations between their different data sets in order to predict the required parameters.
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