Amir Nematollahi Sarvestani
PhD Candidate in Petroleum Engineering | Pioneering AI in Digital Rock Physics & Unconventional Reservoir Innovation
Professional Profile
Data Scientist and Petroleum Engineer with a research focus on leveraging advanced computational methods for geoscientific innovation. My work integrates 3D geological modeling, digital rock physics, and deep learning for image processing (SEM/micro-CT) to enhance shale reservoir characterization, petrophysical analysis, and reservoir simulation. Proficient in Python, Azure, Abaqus, and Power BI for developing data-driven insights that optimize resource development and de-risk subsurface projects. My research bridges the gap between geoscience and computational analytics. I am driven to create innovative, data-centric solutions that address challenges in petrophysics, sustainable resource development, and production optimization.
Contact Information
Address
Wuhan, China
Phone
GitHub
Education Timeline
B.Sc. in Petroleum Engineering
Shiraz University, Shiraz, Iran • 2012–2017
M.Sc. in Mining Engineering (100/110)
Politecnico di Torino, Turin, Italy • 2018–2021
Alta Scuola Politecnica – Double degree Politecnico di Milano and di Torino • 2018–2019
Ph.D. in Petroleum Engineering
China University of Geosciences, Wuhan, China • 2025–2029
Research Focus: Image processing, deep learning, geometric modeling, and petrophysical analysis applied to unconventional reservoirs.
Test Scores
GRE Scores: Total 308 | Quantitative Reasoning 164 | Verbal Reasoning 142 | Analytical Writing 3.5 • Dec 2023
IELTS Academic: 7.5 band | Speaking 7.0 | Writing 7.0 | Reading 8.0 | Listening 8.0 • March 2025
Research Interests
3D geological modeling, digital rock physics, image processing and analysis, deep learning, SEM and micro-CT imaging, shale reservoir characterization, computational geomechanics, and reservoir simulation.
Technical Skills
Programming
Python (proficient), MATLAB, Fortran
Image Analysis & AI
ImageJ, TensorFlow, PyTorch, OpenCV
Geoscience Software
ArcGIS, Abaqus, Eclipse100, SolidWorks, Ventsim, WinProp, Pipesim
Data Visualization & Cloud
Power BI, Azure, SQL
Other
Microsoft Office, WordPress
Research Experience
- Develop and implement deep learning models to reconstruct 3D pore-scale models from 2D SEM images of shale samples.
- Apply image segmentation and stereological methods to quantify pore morphology, connectivity, and mineral distribution.
- Integrate petrophysical data to improve permeability and porosity predictions in heterogeneous reservoirs.
- Designed and simulated ventilation circuits for underground mines using Ventsim and numerical modeling.
- Published multiple peer-reviewed articles on fire safety, ventilation, and environmental modeling.
Publications
- Nematollahi Sarvestani, Amir, and Pierpaolo Oreste. 2023. “Effects of the Ventilation System by Using Jet Fans during a Fire in Road Tunnels” Applied Sciences 13, no. 9: 5618. DOI
- Nematollahi Sarvestani, A.; Oreste, P.; Gennaro, S. “Fire Scenarios Inside a Room-and-Pillar Underground Quarry Using Numerical Modeling to Define Emergency Plans.” Appl. Sci. 2023, 13, 4607. DOI
- Nematollahi Sarvestani, A.; Oreste, P.; Gennaro, S. “Improving environmental conditions of a Room and Pillar underground quarry using the numerical modeling of the ventilation system”, 2021, Mining Technology.
- Carola Botto, Alberto Cannavo, Daniele Cappuccio, Giada Morat, Amir Nematollahi Sarvestani, Paolo Ricci, Valentina Demarchi, Alessandra Saturnino, “Augmented Reality for the Manufacturing Industry: The Case of an Assembly Assistant”, 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW), Atlanta, GA, USA. DOI
- E. Bakyani, A. Taghizade, A. Nematollahi Sarvestani, F. Esmaeilzadeh and D. Mowla (2018), “Three-dimensional and two-phase numerical simulation of fractured dry gas reservoirs”, J. Petrol. Explor. Prod. Technology. DOI
- Bakyani, A., Namdarpoor, A., Nematollahi Sarvestani, A., Daili, A., Ganji, S. and Esmaeilzadeh, F. (2018) “A Simulation Approach for Screening of EOR Scenarios in Naturally Fractured Reservoirs”. International Journal of Geosciences, 9, 19-43. DOI
Teaching Experience
Teaching Assistant
Shiraz University • 2012–2017
Assisted in courses including Reservoir Simulation, Drilling Engineering, and Rock Mechanics. Graded assignments, held office hours, and supported lab sessions.
Instructor – Power BI and Azure
Faradars.org • 2022
Developed and delivered curriculum on data visualization and cloud computing for industry professionals.
Professional Experience
Data and Trading Analyst
Aminsazeh Gostaran Company (Bakren), Iran • 2022–2025
Performed market analysis, risk assessment, and financial planning using Python, SQL, and Power BI. Contributed to business growth through data-driven trading strategies.
Current Project Highlights
Full Resume
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