1. Gazprom Neft |
Hydrodynamic Oil Production Forecasting (2D Quasilinear Diffusion Equation) | Python 3 | 08/2022 – 01/2023 • Objective: Develop open-source alternative to commercial simulators for production forecasting under reservoir engineering constraints
• Implementation: Designed finite element solver (FiPy) implementing pressure-dependent permeability modeling, benchmarked against tNavigator
• Outcome: Achieved 95-99% parity with industry-standard simulator results while eliminating arbitrary parameter tuning [GitHub: Solver Implementation]
2. Freelance | Commercial Real Estate Valuation Analytics (Moscow Market) | Python 3 | 05/2023 - 07/2023 • Objective: Identify systematically undervalued commercial properties in high-potential Moscow districts
• Implementation: Built CIAN.ru web scraper (BeautifulSoup/CloudScraper) + XGBoost valuation model with expert-defined feature engineering
• Outcome: Delivered 3 expert-validated investment opportunities within MVP period, reducing noise by 40% through NLP filtering [GitHub: Parser Architecture]
3. Gazprom Neft | Excel-to-VBA Forecasting Model Migration | VBA | 08/2021 – 01/2022 • Objective: Modernize legacy spreadsheet-based forecasting model (600+ formulas across 7 sheets)
• Implementation: Developed automated formula parser converting Excel logic to modular VBA with unified GUI interface
• Outcome: Eliminated manual calculation errors and improved operational efficiency through single-interface solution [GitHub: Conversion Module]
4. Gazprom Neft | Production Drivers Analysis & Stochastic Forecasting | Python 3 | 03/2020 – 09/2020 | [1] – Publication • Objective: Quantify key production influencers and develop probabilistic forecasting framework
• Implementation: Multivariate regression analysis + Monte Carlo simulation
• Outcome: Identified 5 statistically significant production drivers (p<0.01) with SHAP value interpretation
5. Research lab. GAMMETT | Fractal Reservoir Pressure Modeling | Maple | 2020 | [2, 4] – Publications • Objective: Incorporate fractal properties of the medium into a mathematical model for oil pressure.
• Implementation: Designed a new model in collaboration with a Physicist Scientist. Tested using real-world data.
• Outcome: The use of the model can improve the accuracy of predicted values by up to 20%.
6. Research lab. GAMMETT | Singular PDE Numerical Methods | Maple/Python 3 | 2019 | [3] – Publication • Objective: Develop stable numerical scheme for integro-differential equation
• Implementation: Created adaptive mesh refinement algorithm handling solution singularities
• Outcome: Published convergence proof and field validation results
7. Research lab. GAMMETT | Fractal Derivatives in Oil Production Modeling
| Maple / Python 3 | 2018 | [5, 6] – Publications • Objective: Develop and compare new modeling approach (fractal derivative) for physical model with differential equations (oil production)
• Implementation: Prototyped a Monte Carlo algorithm article arxiv.org/abs/0906.0676. Developed a model with fractal derivatives in collaboration with two Research Scientists.
• Outcome: Conducted comparative analysis with a simpler model. [EN Description]
📈 Relevant Experience
Gazprom Neft Oil Company | Remote – Mathematical Modeling Engineer 03/2020 – 09/2020, 08/2021 – 01/2022, 08/2022 – 01/2023 (1.5 years total) Worked on 3 projects focused on analysis and development of predictive modeling modules for oil production.
Key Responsibilities:
• Research on predictive modeling techniques in oil productions.
• Designed and implemented data mining and modeling solutions using Python 3 and VBA.
• Development of technical requirement and documentation.
Publications: [1].
About Company: The Technology Partnerships LLC (Bazhen Technology Centre) department, based in Moscow, specializes in shale oil production modeling. About Department,
Gazpromneft Wiki Page.
GAMMETT Research Laboratory | Ufa, Russia – Research Engineer 03/2017 – 11/2020 (3 years 8 months) Engaged in validating academic mathematical models for industrial applications, including prototype development and problem detection in oil production modeling.
Key Responsibilities:
• Research on modeling techniques to account for new phenomena in oil production.
• Designed computational solutions using Maple and Python 3 for advanced modeling tasks.
• Published academic papers in mathematical modeling and prepared detailed research reports.
Publications: [2, 3, etc.].
About Company:
The research lab GAMMETT, based at Ufa State Aviation Technical University (Russia) collaborated with the research institute RN-BashNIPIneft on oil production modeling research. Website.