PhD Researcher — GeoEnergy Engineering

About

I am a Postgraduate Research Student (PhD) in GeoEnergy Engineering at Heriot‑Watt University, specialising in 4D seismic inversion, machine learning, and subsurface reservoir monitoring. I integrate physics‑based geophysical methods with modern data‑driven approaches to improve time‑lapse (4D) seismic interpretation for hydrocarbon reservoirs and CO₂ storage sites.

My background covers seismic interpretation, inversion workflow design, reservoir modelling, and ML/DL for geoscience. I focus on building reliable, reproducible pipelines that deliver decision‑grade subsurface insights.

Education

• PhD, GeoEnergy Engineering — Heriot‑Watt University (2025–2029)
  Research: 4D Seismic Inversion, Reservoir Monitoring, ML for Geoscience
• MSc, Petroleum & Mining Engineering — Polytechnic University of Turin (2021–2023)
  Thesis: Unsupervised ML for Salt Dome Identification & Seismic Image Enhancement
• BSc, Petroleum Engineering — Gubkin Russian State University (Branch) (2017–2021)

Experience

• Doctoral Researcher — Heriot‑Watt University (2025–Present)
  Time‑lapse seismic analysis · ML/DL modelling · Pressure/Saturation estimation
• Chief Specialist, Geophysics Department — “Yangi kon” (2025)
  Seismic interpretation · Geological body modelling · Reservoir analysis
• Assistant Lecturer — Tashkent State Technical University (2024–2025)
  Teaching geophysics · Reservoir engineering · Petroleum geology
• Junior Researcher — Institute of Geology & Exploration (2024)
  Reserves estimation · Petrel modelling · Production forecasting

Skills

• Computational: Python, MATLAB, TensorFlow, NumPy, SciPy, ML/DL, data analysis.
• Geoscience & Reservoir: 4D seismic interpretation & inversion, denoising, reservoir engineering, reserves estimation, production forecasting.
• Tools: Petrel, seismic attribute workflows, well logging & geomodelling tools.
• Professional: Research writing, academic presentations, analytical reporting, cross‑disciplinary collaboration.
• Languages: Uzbek (native), English (fluent), Russian (fluent), Italian (basic).