Sa'eed Telvari | Curriculum Vitae

Department of Petroleum Engineering

Amirkabir University of Technology, Tehran, Iran

Research Interests

2022-present

2018-2022

"Prediction of two-phase flow properties for digital sandstones using 3D convolutional neural networks"
Saeed Telvari, Mohammad Sayyafzadeh, Javad Siavashi, Mohammad Sharifi
(Link)

"Fractured Rock Image Segmentation using Autoencoder-Based Deep Learning. (In progress)"
Saeed Telvari, Mohammad Sharifi

Aug-Sep 2021

Ranked within the top 2% in Iranian University Entrance Exam for masters degrees
Granted direct admission for graduate study from Talented Student Office of Amirkabir University of Technology
Received national undergraduate scholarship (full tuition waiver)
Ranked within the top 4% among more than 140,000 students in Iranian University Entrance Exam for bachelor degrees
Recognized as a talented student in the entrance exam of NODET for middle and high school

Implemented LSTM to predict reservoir properties from pressure derivative and dp
Developed a script to match analytical model to data

Remodeled a local upscaling module with periodic boundary conditions into an extended local one
Implemented and compared with local and fine scale pressure field

Extracted and partitioned a micro-scale 3D image of a fractured granite rock
Simulated injection of CO2 with a lower temperature into a fractured granite with high temperature

Used 10 conventional well log data as input and mud logging data as output
Developed FNN (pytorch), Decision Tree (tensorflow), and clustering algorithms such as SVM and k-means