Noor Albasheer

Masters Students

MS student

Current

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Biography

Noor Albasheer is a Sr Petroleum Engineer at Saudi Aramco, currently with the Reservoir Description and Simulation Department's Exploration and Unconventional Petrophysical team, supporting logging operations for oil and gas exploration, unconventional, and sustainability wells, including CCS and geothermal projects. She joined Saudi Aramco through the Corporate Scholarship program and rotated early in her career through reservoir management, and reservoir simulation before settling into petrophysics. In 2023, she joined Saudi Aramco's Technologists Development Program (TDP) to specialize in acoustic petrophysics, completing a year and half assignment at the company's Upstream Advanced Research Center applying machine learning to acoustic logging interpretation before returning to Reservoir Description. She holds a B.Sc. in Petroleum Engineering (Magna Cum Laude), with a minor in Mathematics, from the University of Tulsa, and is a Certified Engineer with the Society of Petroleum Engineers (SPE). At KAUST, she is pursuing her M.Sc. with Professor Thomas Finkbeiner's Rock & Geomechanics (RockGem) research group.

Research Interests

Noor's research focuses on petrophysics, particularly acoustic well logging and near-wellbore acoustic imaging using full-waveform sonic data. Her work also applies machine learning, including large language models, to automate the processing and interpretation of acoustic borehole images. More recently, she has been expanding into laboratory geomechanical measurements for assessing caprock seal integrity in CO₂ storage (CCS), alongside broader interests in formation evaluation for exploration and unconventional reservoirs.

Selected Publications

High-Resolution Near-Wellbore Imaging Using Full-Waveform Sonic Data and Reverse Time Migration

N. Albasheer, T.-L. Tonellot, M. Alsharif, H. Salim

SEG-KGS Workshop: Multi-component Processing & Imaging, Kuwait, (2025)

 

Innovative Approaches to Enhance Micro-Frac Tests for Geomechanical Modeling

N. Albasheer, B. Elshurafa, M. Charupa, D. Alotaibi

ARMA/DGS/SEG International Geomechanics Symposium, Al Khobar, Saudi Arabia, (2025)

 

Transform Lamination into Geomechanic Stress Using LWD Dual Images in Oil Based Mud Environment

N. Albasheer, O. Akinyose, G. Santoso, M. Mohiuddin

Middle East Oil, Gas and Geosciences Show (MEOS GEO), Manama, Bahrain, SPE-213772-MS, (2023)

Education

  • Bachelor of Science – BS, Petroleum Engineering (Minor in Mathematics), The University of Tulsa, USA, 2017 (Magna Cum Laude)

Professional Profile

  • Apr 2026 – Present: Sr Petroleum Engineer

Jun 2026 – Present: Reservoir Description – Exploration and Unconventional Petrophysics

Apr 2026 – Jun 2026: Upstream Advanced Research Center – Geoscience Automation and Imaging

  • 2022 – 2026: Petroleum Engineer

Jan 2025 – Apr 2026: Upstream Advanced Research Center – Geoscience Automation and Imaging

Aug 2022 – Dec 2024: Reservoir Description – Exploration and Unconventional Petrophysics

  • 2017 – 2022: Associate Petroleum Engineer

Aug 2020 – Aug 2022: Reservoir Description – Exploration and Unconventional Petrophysics

Aug 2019 – Jul 2020: Reservoir Simulation – Advanced Simulation Modeling

Aug 2018 – Jul 2019: Gas Reservoir Management – South Ghawar Gas Fields

Jul 2017 – Jul 2018: Reservoir Description – Exploration and Unconventional Petrophysics

Scientific and Professional Membership

  • Society of Petroleum Engineers (SPE)
  • Society of Petrophysics and Well log Analysts (SPWLA)
  • Saudi Council of Engineering (SCE)

KAUST Affiliations

  • Physical Science and Engineering Division (PSE)

Research Interests Keywords

petrophysics acoustic logging borehole imaging formation evaluation Geomechanics well logging reservoir characterization Machine Learning LLM Co2 Storage