Economic methods of optimization of the composition supplying systems of the objects of oil and gas industry
Annotation
preventing possible refusals of oil and gas production facilities is an important task in the development of new fields and requires a number of measures to ensure their reliability and resiliency. Applying neural technology, the author has developed the classifier revealing possible deviations and anomalies at drilling of oil and gas wells, algorithm for determining the structure and composition of a set of spare assets and supplies for the restoration of the operability of the rig for drilling oil and gas wells after the failure of individual components.
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