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A. N. Sitnikov

Gazprom Neft

35

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Deep Neural Networks Predicting Oil Movement in a Development Unit.

2019 arXiv: Learning
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Methodology of surrogate models (metamodels) and their prospects for solving petroleum engineering challenges

2019
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Methodology of surrogate Models (MetaModels) and their prospects for solving petroleuM engineering challenges (Russian)

2019
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Automatic Detection of Channels in Seismic Images via Deep Convolutional Neural Networks Learning

2018 International Journal of Open Information Technologies
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Self-Colmatation in terrigenic oil reservoirs of Eastern Siberia

2018 Journal of Petroleum Science and Engineering
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Automatic detection of channels in seismic images via deep learning neural networks

2018 Business informatics
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Methodology for determination of low-permeability reservoirs development

2018
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The direction of cognitive technologies development in the Upstream Division of Gazprom Neft Company

2017 Neftyanoe khozyaystvo - Oil Industry
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Optimal multiple-fractured horizontal well pattern for depletion drive reservoirs (Russian)

2017 Oil Industry Journal
- A. N. Sitnikov
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Identifying the best technology solutions to improve efficiency of MSHF in horizontal wells at the Priobskoye field

2017 Neftyanoe khozyaystvo - Oil Industry
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