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K.A. Pechko
Observed name:
K. Pechko
Institution:
ITMO University
Observed institution:
ITMO University
ORCID:
0000-0002-9663-8660
Observed ORCID:
0000-0002-9663-8660
OpenAlex ID:
A5076315162
Production rate forecasting using pressure and saturation estimates near the wellbore
2025
·
D. Voloskov
, E. Gladchenko
, et al.
·
Geoenergy Science and Engineering
·
2
Methodology for selecting analogs of reservoir fluid PVT models and rapid estimation of PVT parameters for new assets
2023
·
Gazprom Neft Companу Group, RF, Saint Petersburg
, V.V. Kim
, et al.
·
Neftyanoe khozyaystvo - Oil Industry
·
2
Application of Machine Learning in Integrated Modeling of the Oil and Gas Fields
2023
·
K. Pechko
, A. Afanasyev
, et al.
·
EAGE Digitalization Conference & Exhibition
·
1
Leveraging Model Predictive Control for Intelligent Field Development Scenario Generation in Oil and Gas
2025
·
K. Pechko
, M. Simonov
, et al.
·
EAGE Digitalization Conference & Exhibition
Intelligent Well Sequencing: A Reinforcement Learning Approach for Optimal Drilling Scheduling
2025
·
K. Pechko
, S. Bazhukov
, et al.
·
Empowering the Energy Shift: The Role of HPC in Sustainable Innovation
Methodology for Developing Plans for Brownfield Assets to Produce Residual Recoverable Reserves
2025
·
V. Kim
, K. Pechko
, et al.
·
EAGE Annual Conference & Exhibition
Data Pre Processing Techniques in Integrated Asset Modeling
2024
·
K. Pechko
, D. Konstantinov
, et al.
·
EAGE Digitalization Conference & Exhibition
A New Approach to Rapid Generation of PVT Black-Oil Model Using Machine Learning Techniques for Greenfields
2024
·
V. Kim
, K. Pechko
, et al.
·
EAGE Annual Conference & Exhibition
Optimizing Oil and Gas Assets Using Machine Learning Algorithms at Different Levels of Detail
2024
·
K. Pechko
, S. Ivanov
, et al.
·
EAGE Conference on Energy Excellence: Digital Twins and Predictive Analytics
Acceleration of Calculations of Integrated Fields Using Machine Learning Methods
2022
·
K. Pechko
, I. Senkin
, et al.
·
EAGE Conference on Digital Innovation for a Sustainable Future
Modeling of Two-Phase Fluid Flow in a Well Using Machine Learning Algorithms
2021
·
K.A. Pechko
, I.S. Senkin
, et al.
·
Data Science in Oil and Gas
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Works count:
11
Citation count:
5
H-index:
2
I10-index:
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