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Serhii Kryvenko
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Proceedings Papers

Numerical Investigation of the Primary Mechanisms Leading to Complex Fracture Morphology in the Near-Wellbore Region

Serhii Kryvenko, George Julius Moridis, Thomas Alvin Blasingame
Paper presented at the SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition, June 5–8, 2023
Paper Number: SPE-214403-MS
https://doi.org/10.2118/214403-MS
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Proceedings Papers

A Coupled Model for Three-Dimensional Hydraulic Fracture Propagation and Proppant Transport

Serhii Kryvenko, George J. Moridis, Thomas A. Blasingame
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3715179-MS
https://doi.org/10.15530/urtec-2022-3715179
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View Paper titled, A Coupled Model for Three-Dimensional Hydraulic Fracture Propagation and Proppant Transport
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Proceedings Papers

Modified Higher-Order 3D Displacement Discontinuity Method for Prediction of Fracture Propagation

Serhii Kryvenko, George Julius Moridis, Thomas Alvin Blasingame
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208365-MS
https://doi.org/10.15530/AP-URTEC-2021-208365
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View Paper titled, Modified Higher-Order 3D Displacement Discontinuity Method for Prediction of Fracture Propagation
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Proceedings Papers

Implementing the K-Means Clustering Algorithm for the Type Well Generation Workflow in the Eagle Ford Shale

Serhii Kryvenko, Mikhail Gorditsa, Gabriel Siegel
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5528-MS
https://doi.org/10.15530/urtec-2021-5528
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View Paper titled, Implementing the K-Means Clustering Algorithm for the Type Well Generation Workflow in the Eagle Ford Shale
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Proceedings Papers

Integration of Petrophysical Log Data with Computational Intelligence for the Development of a Lithology Predictor

Syed Muhammad Amir, Mohammad Rasheed Khan, Ekarit Panacharoensawad, Serhii Kryvenko
Paper presented at the SPE Russian Petroleum Technology Conference, October 26–29, 2020
Paper Number: SPE-202047-MS
https://doi.org/10.2118/202047-MS
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View Paper titled, Integration of Petrophysical Log Data with Computational Intelligence for the Development of a Lithology Predictor
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