6 research outputs found
The use of the harmony search method in chemical kinetics problems: a literature review
This paper considers and reviews the publications about the Harmony search algorithm and applications of the Harmony Search algorithm. It approaches to achieve perfect results in a huge number of optimization problems. The paper analyses the literature on the application of Harmony Search algorithm to supply the future research directions. That Harmony search algorithm will be used to calculate the reaction kinetic parameters.The reported study was funded by RFBR, project number 19-37-60014
Mathematical modeling of the reaction of low-temperature steam reforming mixtures of light hydrocarbons at different flow rates
ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ΅ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅Π°ΠΊΡΠΈΠΈ Π½ΠΈΠ·ΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ²ΠΎΠΉ ΠΊΠΎΠ½Π²Π΅ΡΡΠΈΠΈ ΡΠΌΠ΅ΡΠ΅ΠΉ Π»Π΅Π³ΠΊΠΈΡ
ΡΠ³Π»Π΅Π²ΠΎΠ΄ΠΎΡΠΎΠ΄ΠΎΠ² (C1 β C5). Π Π°ΡΡΡΠΈΡΠ°Π½Ρ ΠΊΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ ΡΠ΅Π°ΠΊΡΠΈΠΈ ΠΏΠ°ΡΠΎΠ²ΠΎΠΉ ΠΊΠΎΠ½Π²Π΅ΡΡΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΠ½ΡΡ
ΡΠΌΠ΅ΡΠ΅ΠΉ. ΠΡΠΎΠ²Π΅Π΄Π΅Π½ΠΎ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠ΅Π°ΠΊΡΠΈΠΈ Π½ΠΈΠ·ΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ²ΠΎΠΉ ΠΊΠΎΠ½Π²Π΅ΡΡΠΈΠΈ ΡΠΌΠ΅ΡΠ΅ΠΉ Π»Π΅Π³ΠΊΠΈΡ
ΡΠ³Π»Π΅Π²ΠΎΠ΄ΠΎΡΠΎΠ΄ΠΎΠ² ΠΏΡΠΈ ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠΊΠΎΡΠΎΡΡΡΡ
ΠΏΠΎΡΠΎΠΊΠ°Ρ
Π½Π° ΠΏΡΠΎΠΌΡΡΠ»Π΅Π½Π½ΠΎΠΌ ΠΊΠ°ΡΠ°Π»ΠΈΠ·Π°ΡΠΎΡΠ΅ ΠΠΠΠ-07-05. Π Π°Π·ΡΠ°Π±ΠΎΡΠ°Π½ Π°Π»Π³ΠΎΡΠΈΡΠΌ ΠΈ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ Π΄Π»Ρ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π°ΠΊΡΠΈΠΈ Π½ΠΈΠ·ΠΊΠΎΡΠ΅ΠΌΠΏΠ΅ΡΠ°ΡΡΡΠ½ΠΎΠΉ ΠΏΠ°ΡΠΎΠ²ΠΎΠΉ ΠΊΠΎΠ½Π²Π΅ΡΡΠΈΠΈ Π»Π΅Π³ΠΊΠΈΡ
ΡΠ³Π»Π΅Π²ΠΎΠ΄ΠΎΡΠΎΠ΄ΠΎΠ². A complex mathematical modeling of the reaction of low-temperature steam reforming of light hydrocarbons (C1 β C5) mixtures was carried out. The kinetic parameters of the reaction of steam reforming of multicomponent mixtures are calculated. A simulation of the reaction of low-temperature steam reforming of light hydrocarbon mixtures at different flow rates on the industrial catalyst NIAP-07-05 was carried out. An algorithm and a set of programs for modeling the reaction of low-temperature steam reforming of light hydrocarbons has been developed
Numerical modeling of intramolecular transformations of orto-substituted aromatic nitrozoxides
Π Π°Π±ΠΎΡΠ° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΡΠ΅Π°ΠΊΡΠΈΠΈ Π³ΠΈΠ±Π΅Π»ΠΈ Π°ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π½ΠΈΡΡΠΎΠ·ΠΎΠΎΠΊΡΠΈΠ΄ΠΎΠ², ΠΊΠΎΡΠΎΡΡΠ΅ ΠΎΠ±Π»Π°Π΄Π°ΡΡ ΡΠ½ΠΈΠΊΠ°Π»ΡΠ½ΡΠΌΠΈ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌΠΈ, Π±Π»Π°Π³ΠΎΠ΄Π°ΡΡ Π½Π°Π»ΠΈΡΠΈΡ Ρ Π½ΠΈΡ
ΡΠΈΡ- ΠΈ ΡΡΠ°Π½Ρ- ΠΈΠ·ΠΎΠΌΠ΅ΡΠΈΠΈ. ΠΠΎΠ½ΡΡΠ°Π½ΡΡ ΡΠΊΠΎΡΠΎΡΡΠΈ Π³ΠΈΠ±Π΅Π»ΠΈ ΠΈΠ·ΠΎΠΌΠ΅ΡΠΎΠ² Π½ΠΈΡΡΠΎΠ·ΠΎΠΎΠΊΡΠΈΠ΄ΠΎΠ² ΡΠ²Π»ΡΡΡΡΡ
ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ, Ρ.Π΅. ΠΎΠΏΠΈΡΡΠ²Π°ΡΡ ΡΠ»ΠΎΠΆΠ½ΡΡ ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΡΠ½ΡΡ
ΠΏΡΠ΅Π²ΡΠ°ΡΠ΅Π½ΠΈΠΉ β
ΠΊΠΎΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΠΈ Π½Π΅ΠΎΠ±ΡΠ°ΡΠΈΠΌΡΡ
. ΠΠ»Ρ ΡΠΈΡΠ»Π΅Π½Π½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΡΠΎΡΠ΅ΡΡΠ° ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π°
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ° Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΡ ΠΊΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ΅Π°ΠΊΡΠΈΠΈ. ΠΠ²ΠΈΠ΄Ρ Π±ΠΎΠ»ΡΡΠΎΠ³ΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π°
ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠΎΠ² ΡΠ΅Π°ΠΊΡΠΈΠΈ, ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ ΠΎΠ±ΡΠ°ΡΠ½ΠΎΠΉ ΠΊΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠΎΠΉ Π·Π°Π΄Π°ΡΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π»ΠΎ Π±ΠΎΠ»ΡΡΠΈΡ
Π²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
Π·Π°ΡΡΠ°Ρ. Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»ΠΈΡΡ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠ°ΡΠ°Π»Π»Π΅Π»ΡΠ½ΡΡ
Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΉ,
ΡΡΠΎ ΠΏΠΎΠ·Π²ΠΎΠ»ΠΈΠ»ΠΎ ΡΠΎΠΊΡΠ°ΡΠΈΡΡ Π²ΡΠ΅ΠΌΡ Π²ΡΡΠΈΡΠ»Π΅Π½ΠΈΠΉ ΠΏΡΠΈΠΌΠ΅ΡΠ½ΠΎ Π² 10 ΡΠ°Π·. Π‘ ΠΏΠΎΠΌΠΎΡΡΡ
ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΡ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΏΠΎΡΡΡΠΎΠ΅Π½Π° ΠΊΠΈΠ½Π΅ΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΌΠΎΠ΄Π΅Π»Ρ ΡΠ΅Π°ΠΊΡΠΈΠΈ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠ°Ρ Π² ΡΠ΅Π±Ρ
ΠΎΠΏΡΠΈΠΌΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Π½ΡΠ΅ ΡΠ½Π΅ΡΠ³ΠΈΠΈ ΠΠΈΠ±Π±ΡΠ°, ΠΊΠΎΠ½ΡΡΠ°Π½ΡΡ ΡΠ»Π΅ΠΌΠ΅Π½ΡΠ°ΡΠ½ΡΡ
ΡΡΠ°Π΄ΠΈΠΉ ΡΠ΅Π°ΠΊΡΠΈΠΉ ΠΈ
ΡΡΡΠ΅ΠΊΡΠΈΠ²Π½ΡΠ΅ ΠΊΠΎΠ½ΡΡΠ°Π½ΡΡ ΡΠ°ΡΡ
ΠΎΠ΄ΠΎΠ²Π°Π½ΠΈΡ ΠΈΠ·ΠΎΠΌΠ΅ΡΠΎΠ² Π½ΠΈΡΡΠΎΠ·ΠΎΠΎΠΊΡΠΈΠ΄ΠΎΠ². ΠΠ½Π°Π»ΠΈΠ· Π΄ΠΎΠΊΠ°Π·Π°Π»
Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΡΡΠ΅ΡΠ° Π²Π½ΡΡΡΠΈΠΌΠΎΠ»Π΅ΠΊΡΠ»ΡΡΠ½ΡΡ
ΠΏΡΠ΅Π²ΡΠ°ΡΠ΅Π½ΠΈΠΉ Π°ΡΠΎΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π½ΠΈΡΡΠΎΠ·ΠΎΠΊΡΠΈΠ΄ΠΎΠ²
Π² ΡΠ΅Π°ΠΊΡΠΈΠΈ ΠΈΡ
Π³ΠΈΠ±Π΅Π»ΠΈ.//The work is devoted to the investigation of the deacay reaction of aromatic
nitrosooxides, which have unique properties due to the presence of cis and trans isomerism.
The rate constants of nitrosooxides isomer decay are effective, i.e. incluse a complex set of
elementary transformations β conformational and irreversible. For numerical analysis of the
process, a software has been developed for calculating the kinetic parameters of the reaction. In
view of the large number of reaction parameters, the solution of the inverse kinetic problem
required a large amount of time. In connection with this, parallel computing technologies were
used, which allowed to reduce the calculation time approximately in 10 times. With the help of
the developed algorithms, a kinetic model of the reaction is constructed, which includes
optimized Gibbs energies, constants of elementary reaction stages and effective constants of
nitroso isomers consumption. The analysis proved the necessity of taking into account
intramolecular transformations of aromatic nitroxides in the reaction of their consuption.Π Π°Π±ΠΎΡΠ° Π²ΡΠΏΠΎΠ»Π½Π΅Π½Π° ΠΏΡΠΈ ΡΠΈΠ½Π°Π½ΡΠΎΠ²ΠΎΠΉ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ Π³ΡΠ°Π½ΡΠ° 15-07-01764 "ΠΠΏΡΠΈΠΌΠ°Π»ΡΠ½ΠΎΠ΅ ΡΠΏΡΠ°Π²Π»Π΅Π½ΠΈΠ΅
Ρ
ΠΈΠΌΠΈΡΠ΅ΡΠΊΠΈΠΌΠΈ ΡΠ΅Π°ΠΊΡΠΈΡΠΌΠΈ ΠΌΠ΅ΡΠ°Π»Π»ΠΎΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΠΎΠ³ΠΎ ΠΊΠ°ΡΠ°Π»ΠΈΠ·Π°"
Machine learning in the problem of recognition of pitting corrosion on aluminum surfaces
ΠΡΠ½ΠΎΠ²Π½Π°Ρ ΡΡΠ°ΡΡΡΠ Π°Π±ΠΎΡΠ° ΠΏΠΎΡΠ²ΡΡΠ΅Π½Π° ΠΏΡΠΎΠ±Π»Π΅ΠΌΠ΅ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ ΠΈ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠ΅
ΠΏΠΈΡΡΠΈΠ½Π³ΠΎΠ²ΠΎΠΉ ΠΊΠΎΡΡΠΎΠ·ΠΈΠΈ. Π¦Π΅Π»Ρ ΡΠ°Π±ΠΎΡΡ β ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ° ΠΈ
ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠ° ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ Π΄Π»Ρ ΠΎΡΠ΅Π½ΠΈΠ²Π°Π½ΠΈΡ ΠΈ ΠΏΡΠΎΠ³Π½ΠΎΠ·ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΡΡΠΎΠ·ΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² Π½Π° ΠΏΠΎΠ²Π΅ΡΡ
Π½ΠΎΡΡΠΈ Π°Π»ΡΠΌΠΈΠ½ΠΈΡ. Π Π°Π±ΠΎΡΠ° Π΄Π°Π½Π½ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΈ ΠΎΡΠ½ΠΎΡΡΡΠΈΡ
ΡΡ ΠΊ Π½Π΅ΠΉ
Π°Π»Π³ΠΎΡΠΈΡΠΌΠΎΠ² ΠΈ ΡΠΈΡΡΠ΅ΠΌ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΡΡΡ Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ ΠΎΠ±ΡΠ°Π±ΠΎΡΠΊΠΈ Π΄Π°Π½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΊΠΎΡΡΠΎΠ·ΠΈΠΈ
Π°Π»ΡΠΌΠΈΠ½ΠΈΡ Ρ Π²ΠΎΠ΄ΠΎΡΠΎΠ΄Π½ΠΎΠΉ Π΄Π΅ΠΏΠΎΠ»ΡΡΠΈΠ·Π°ΡΠΈΠ΅ΠΉ. Π Π΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΠ°Π±ΠΎΡΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ
Π΄Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ ΠΊΠΎΡΡΠΎΠ·ΠΈΠΎΠ½Π½ΡΡ
ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ² ΠΈ ΠΈΡ
ΠΌΠ΅Ρ
Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π²ΠΈΠ·ΡΠ°Π»ΡΠ½ΠΎΠ³ΠΎ
Π°Π½Π°Π»ΠΈΠ·Π° ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°. The work is devoted to the problem of corrosion identification and quantitative
evaluation of corrosion damage. The purpose of the work is to develop a methodology for
conducting an experiment and a set of parallel programs for estimating and predicting
corrosion processes on the aluminum surface. This technique is considered on the example of
processing data of the corrosion process of aluminum with hydrogen depolarization. The
results of the work can be used to study the corrosion processes and their mechanisms on the
basis of a visual analysis of the experiment
The apply of machine learning methods for watercut prediction on the projected wells
ΠΠ° Π²ΡΠ΅ΠΌΡ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ Π½Π΅ΡΡΡΠ½ΡΡ
ΠΌΠ΅ΡΡΠΎΡΠΎΠΆΠ΄Π΅Π½ΠΈΠΉ Π³Π΅Π½Π΅ΡΠΈΡΡΠ΅ΡΡΡ Π±ΠΎΠ»ΡΡΠΎΠ΅ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ Π΄Π°Π½Π½ΡΡ
. ΠΡΠΈ Π΄Π°Π½Π½ΡΠ΅ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΊΠ°ΠΊ ΠΈΠ½ΡΠ΅ΡΠΏΡΠ΅ΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠΌ, ΡΠ°ΠΊ ΠΈ Β«ΡΡΡΡΠΌΠΈΒ», ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π½Π΅ΠΏΠΎΡΡΠ΅Π΄ΡΡΠ²Π΅Π½Π½ΠΎ Ρ ΠΏΡΠΈΠ±ΠΎΡΠΎΠ², ΠΊΠ°ΠΊ ΡΡΡΡΠΊΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ, ΡΠ°ΠΊ ΠΈ Π½Π΅ ΡΡΡΡΠΊΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ, Π»ΠΈΠ±ΠΎ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎ ΡΡΡΡΠΊΡΡΡΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ (ΡΠΎ Π΅ΡΡΡ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ Π»ΠΎΠΊΠ°Π»ΡΠ½ΠΎ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΡΡ Π°Π½Π°Π»ΠΈΠ·, Π½ΠΎ Π² Π΄Π°Π½Π½ΠΎΠΌ Π²ΠΈΠ΄Π΅ Π½Π΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°ΡΡ Π² ΡΠΎΠ²ΠΎΠΊΡΠΏΠ½ΠΎΡΡΠΈ Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ Π²ΠΈΠ΄Π°ΠΌΠΈ Π΄Π°Π½Π½ΡΡ
). ΠΠ»Ρ ΠΏΠΎΠ»ΡΡΠ΅Π½ΠΈΡ ΠΈΠ· ΡΠ°ΠΊΠΎΠ³ΠΎ Π½Π°Π±ΠΎΡΠ° Π±ΠΎΠ»Π΅Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠ²Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡΡ ΠΏΡΠΈΠ½ΠΈΠΌΠ°ΡΡ ΡΠ΅ΡΠ΅Π½ΠΈΡ Π² ΠΏΡΠΎΡΠ΅ΡΡΠ΅ ΡΠΊΡΠΏΠ»ΡΠ°ΡΠ°ΡΠΈΠΈ ΠΌΠ΅ΡΡΠΎΡΠΎΠΆΠ΄Π΅Π½ΠΈΡ, ΡΡΠ΅Π±ΡΠ΅ΡΡΡ ΠΏΡΠΈΠ²Π»Π΅ΡΠ΅Π½ΠΈΠ΅ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠ² ΡΠ°Π·Π½ΡΡ
ΠΎΠ±Π»Π°ΡΡΠ΅ΠΉ Π½Π΅ΡΡΡΠ½ΠΎΠΉ ΠΎΡΡΠ°ΡΠ»ΠΈ. ΠΠΎΡΡΠΎΠΌΡ Π²ΠΎΠ·Π½ΠΈΠΊΠ°Π΅Ρ Π²ΠΎΠ·ΠΌΠΎΠΆΠ½ΠΎΡΡΡ ΠΈ Π½Π΅ΠΎΠ±Ρ
ΠΎΠ΄ΠΈΠΌΠΎΡΡΡ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΡ Π½Π΅Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½ΠΈΡΠΎΠ²Π°Π½Π½ΡΡ
ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² Π°Π½Π°Π»ΠΈΠ·Π° ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΡ
Π΄Π°Π½Π½ΡΡ
. Π ΡΡΠ°ΡΡΠ΅ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½ΠΎ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ² ΠΌΠ°ΡΠΈΠ½Π½ΠΎΠ³ΠΎ ΠΎΠ±ΡΡΠ΅Π½ΠΈΡ Π² Π·Π°Π΄Π°ΡΠ΅ ΠΎΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π½Π°ΡΠ°Π»ΡΠ½ΠΎΠΉ ΠΎΠ±Π²ΠΎΠ΄Π½Π΅Π½Π½ΠΎΡΡΠΈ ΠΏΠΎ Π΄Π°Π½Π½ΡΠΌ Π³Π΅ΠΎΡΠΈΠ·ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ ΡΠΊΠ²Π°ΠΆΠΈΠ½. During operation of oil fields a large number of data is generated. These data can be as interpreted by the expert or received directly from devices, both structured, and not structured, or locally structured. Receiving from such data set of more informative data which allow to make decisions in use of the field requires involvement of experts of different areas of the oil industry. Therefore there is an opportunity and need of application of nondeterministic methods of the analysis of the obtained data. For example, such task is determination of initial water content for the designed well. In article application of methods of machine learning in a problem of determination of initial water content according to geophysical surveys of wells is considered