Voskresenskii A., Pakhomov M., Katterbauer K. Leveraging the Power of Spatial-Temporal Information with Graph Neural Networks as the Key to Unlocking More Accurate Flow Rate Predictions. Society of Petroleum Engineers - ADIPEC, ADIP 2023. 2023. pp. SPE-216812-MS.
Leveraging the Power of Spatial-Temporal Information with Graph Neural Networks as the Key to Unlocking More Accurate Oil Flow Rate Predictions
Subbotina M., Voskresenskii A., Shakirov A., Bukhanov N. Prediction Sequence Optimization Guided by Similarity of Well Logs. European Conference on the Mathematics of Geological Reservoirs 2022, ECMOR 2022. 2022. Vol. 2022. pp. 1-9.
Voskresenskiy A. Oil reservoir recovery factor assessment using Bayesian networks based on advanced approaches to analogues clustering. arXiv.org [база препринтов]. 2022. pp. 1-45.
Воскресенский А.Г. Well Connectivity Evaluation Based on Additive Explanations. European Association of Geoscientists & Engineers. 2022. Vol. 2022. pp. 1-3.
Subbotina M., Voskresenskiy A., Bukhanov N.V. Interpretability of geological relationships within fluid flow simulations. 2nd EAGE Digitalization Conference and Exhibition. 2022. pp. 1-6.
Generative design of Bayesian networks in petroleum industry
Deeva I., Bubnova A., Andriushchenko P.D., Voskresenskiy A., Bukhanov N.V., Nikitin N.O., Kalyuzhnaya A.V. Oil and Gas Reservoirs Parameters Analysis Using Mixed Learning of Bayesian Networks. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2021. Vol. 12742. pp. 394-407.
Voskresenskiy A., Bukhanov N.V., Kuntsevich M., Popova O., Goncharov A.S. Rock Type Classification Models Interpretability Using Shapley Values. Society of Petroleum Engineers - Abu Dhabi International Petroleum Exhibition and Conference, ADIP 2021. 2021. pp. 1-5.
Voskresenskiy A., Butorina M., Popova O., Bukhanov N., Filippova Z., Brandao R., Segura V., Vital Brazil E. Variations in ranked list of reservoir analogs as an effect of search preferences. Saint Petersburg 2020 - Geosciences: Converting Knowledge into Resources. 2020.
Voskresenskiy A., Bukhanov N.V., Filippova Z., Brandao R., Segura V., Brazil E. Feature Selection for Reservoir Analogues Similarity Ranking As Model-Based Causal Inference. 17th European Conference on the Mathematics of Oil Recovery, ECMOR 2020. 2020. pp. 1-9.
Андрющенко П.Д., Деева И.Ю., Калюжная А.В., Бубнова А.В., Воскресенский А.Г., Буханов Н.В. Анализ параметров нефтегазовых месторождений с использованием байесовских сетей [Analysis of parameters of oil and gas fields using Bayesian networks]. Интеллектуальный анализ данных в нефтегазовой отрасли: сборник тезисов конференции [Data Science in Oil and Gas 2020]. 2020. С. 1-10.
Зонирование месторождения с помощью кластеризации одномерных сигналов с целью повышения точности автоадаптации на историю добычи
Voskresenskiy A., Буханов Н.В., Шишаев Г. Зонирование месторождения с помощью кластеризации одномерных сигналов с целью повышения точности автоадаптации на историю добычи [Spatial Zonation of the Field by One-Dimensional Signal Clustering in Order to Improve Quality of History Matching]. 6th Scientific Conference - Tyumen 2019. 2019. С. 1329.