Artificial intelligence

Abstract: Methods for prediction of troubles in drilling process have been developed. They include construction of maps for troubles intensities, modeling of intensity dependence on rocks geology with the usage of artificial neural network, prediction on its base of troubles during new wells construction. These methods have been realized in software of drilling fluid loss prediction, which includes also data manager on drilling mud loss in drilled wells on oilfields of Bashneft Company.

Keywords: troubles in drilling process, prediction, artificial neural network, database, drilling fluid loss intensity

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