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Proceedings Papers

Enhancing Oil Production: A Machine Learning Approach in Efficient Waterflooding

A. Aslanyan, I. Aslanyan, D. Gulyaev, M. Garnyshev, R. Karantharath
Paper presented at the SPE Water Lifecycle Management Conference and Exhibition, March 5–7, 2024
Paper Number: SPE-219008-MS
https://doi.org/10.2118/219008-MS
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Proceedings Papers

Dynamic Reservoir-Pressure Maintenance System Study in Carbonate Reservoir with Complicated Pore Structure by Production Analysis, Production Logging and Well-Testing

A.. Aslanyan, A.. Gilfanov, D.. Gulyaev, V.. Krichevsky, M.. Timerbaev
Paper presented at the SPE Russian Petroleum Technology Conference, October 16–18, 2017
Paper Number: SPE-187776-MS
https://doi.org/10.2118/187776-MS
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View Paper titled, Dynamic Reservoir-Pressure Maintenance System Study in Carbonate Reservoir with Complicated Pore Structure by Production Analysis, Production Logging and Well-Testing
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Proceedings Papers

Oil Production Enhancement Operations Recommendations by Well-Testing and Decline Analyze

D.. Lazutkin, D.. Gulyaev, N.. Morozovskiy
Paper presented at the SPE Russian Petroleum Technology Conference, October 16–18, 2017
Paper Number: SPE-187791-MS
https://doi.org/10.2118/187791-MS
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View Paper titled, Oil Production Enhancement Operations Recommendations by Well-Testing and Decline Analyze
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Proceedings Papers

Recovery Increase by Permanent Downhole Gages Data. Western Siberia Field Case Study

D.. Gulyaev, V.. Kokurina, S Melnikov
Paper presented at the SPE Russian Oil and Gas Exploration & Production Technical Conference and Exhibition, October 14–16, 2014
Paper Number: SPE-171219-MS
https://doi.org/10.2118/171219-MS
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Proceedings Papers

Carbonate Reservoir Simulation Improvement on Base of Well-Test Data to Increase Forecast Reliability

D. Gulyaev, N. Chernoglazova, M. Fedoseev
Paper presented at the SPE Russian Oil and Gas Technical Conference and Exhibition, October 28–30, 2008
Paper Number: SPE-115351-MS
https://doi.org/10.2118/115351-MS
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View Paper titled, Carbonate Reservoir Simulation Improvement on Base of Well-Test Data to Increase Forecast Reliability
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