... и в целом вовлечь в разработку запасы низкопроницаемых пластов. The grouping, based on a set of signs of a well stock of layer of the large-scale oil deposit of Western Siberia, using artificial neural network, was carried out. The initial set, including 555 objects, was used for grouping, 95% of objects were chosen from them as the training set and 5% - as test. For training of neural network 17 signs, characterizing both: geological and physical,...

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