1. Gazprom Neft |
Oil Production Forecasting Model (2D Diffusion Equation) | Python 3 | 08/2022 β 01/2023 β’ Goal: Develop a predictive mathematical model to forecast oil production volumes. Restriction: using open-sourse methods.
β’ Solution: Designed a prototype using the 2D diffusion equation in Python 3, collaborating with two Reservoir Engineers.
β’ Result: Achieved 95β99% accuracy compared to the commercial hydrodynamic simulator tNavigator. [Github Link Solver]
2. Freelance | Real Estate Underpricing Analysis | Python 3 | 05/2023 - 07/2023 β’ Goal: Identify undervalued real estate properties in a specific market segment in Moscow.
β’ Solution: Developed a real estate data parser and an outlier detection algorithm using a gradient boosting price model. Collaborated with two Real Estate Experts.
β’ Result: Discovered three actionable insights within one month. [Github Link Parser]
3. Gazprom Neft | VBA-Based Oil Production Model Enhancement | VBA | 08/2021 β 01/2022 β’ Goal: Improve usability and efficiency of the companyβs oil production forecasting model.
β’ Solution: Transferred a spreadsheet with over 600 formulas to a VBA-based prototype with a GUI and enhanced the mathematical framework.
β’ Result: Automated complex calculations, significantly improving usability. [Github Link Spreadsheet to VBA Transfer]
4. Gazprom Neft | Oil Well Data Mining and Forecasting | Python 3 | 03/2020 β 09/2020 | [1] β Publication of research results β’ Goal: Identify key factors influencing oil well production and improve forecasting accuracy.
β’ Solution: Developed a regression model for oil production volume forecasting. Collaborated with two Reservoir Engineers.
β’ Result: Identified 5 critical factors influencing production. Conducted oil production volume forecasting using the Monte Carlo simulation.
5. Research lab. GAMMETT | Fractal Oil Pressure Modeling | Maple | 2020 | [2, 4] β Publications of research results β’ Goal: Incorporate fractal properties of the medium into a mathematical model for oil pressure.
β’ Solution: Designed a new model in collaboration with a Physicist Scientist. Tested using real-world data.
β’ Result: The use of the model can improve the accuracy of predicted values by up to 20%.
6. Research lab. GAMMETT | Numerical Algorithm for Singular Math Model | Maple / Python 3 | 2019 | [3] β Publication of research results β’ Goal: Conduct numerical experiments with a new mathematical model with singularities.
β’ Solution: Created a numerical method for a mathematical model in collaboration with a Research Scientist.
β’ Result: Developed a model prototype. Demonstrated the physical adequacy of the model's numerical approximation.
7. Research lab. GAMMETT | Fractal Derivatives in Oil Production Modeling
| Maple / Python 3 | 2018 | [5, 6] β Publications of research results β’ Goal: Develop and compare new modeling approach for fractal in mathematical models of oil production.
β’ Solution: Prototyped a Monte Carlo algorithm article arxiv.org/abs/0906.0676. Developed a model with fractal derivatives in collaboration with two Research Scientists.
β’ Result: Conducted comparative analysis with a simpler model. [EN Description]
π Relevant Experience
Gazprom Neft Oil Company | Remote β Mathematical Modeling Engineer 03/2020 β 09/2020, 08/2021 β 01/2022, 08/2022 β 01/2023 (1.5 years total) Worked on 3 projects focused on analysis and development of predictive modeling modules for oil production.
Key Responsibilities:
β’ Research on predictive modeling techniques in oil productions.
β’ Designed and implemented data mining and modeling solutions using Python 3 and VBA.
β’ 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 β Research Engineer 03/2017 β 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:
β’ Research on modeling techniques to account for new phenomena in oil production.
β’ Designed computational solutions using Maple and Python 3 for advanced modeling tasks.
β’ 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.