FIELD: oil and gas industry.
SUBSTANCE: stages of the proposed method involve acquisition of database of oil deposit, which are related to oil-field objects. A self-organising map (SOM) is formed by means of the following: assignment of each of multiple data fields to one of multiple SOM maps. Each of multiple oil-field objects is assigned to one of multiple SOM positions based on the pre-determined SOM algorithm for presentation of statistical patterns in a variety of databases of oil deposit. Stochastic database is formed of databases of oil deposit based on artificial neuron network for databases of oil deposit. Screening of databases of oil deposit is performed to identify candidates from oil-field objects. Besides, screening is based on stochastic database. Detail assessment of each of the candidates and selection of oil-field object of candidates based on detail assessment is performed. Oil-field operations for the chosen oil-field object are performed.
EFFECT: improving assessment accuracy of oil-field objects.
22 cl, 23 dwg
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